inVideos.html
My name in title from Math Reviews
My name in title from other sources
250, 2022
485 videos with Wasserstein, WGAN, or Vaserstein in title
sorted by date:
2012 5 videos
Video: Benoît Kloeckner, "The size of Wasserstein spaces"
. at BIRS workshop, Optimal Transportation and Differential Geometry, on Thursday, May 24, 2012 on the topic ...
May 24, 2012 · Uploaded by Banff International Research Station
Video From 12w5118: Optimal Transportation and Differential Geometry
Thursday, May 24, 2012 11:12 - 11:43
Differential forms and symplectic geometry on Wasserstein space
Sliced wasserstein autoencoder - Rvx
Implementation for Topic Modeling with Wasserstein Autoencoders. Demonstration of Wasserstein GAN. Using ...
Oct 2, 2012 · Uploaded by CodeEmporium
A Non-Commutative Analog of the 2-Wasserstein Metric for which the ...
- Uploaded by Institute for Advanced Study
A Non-Commutative Analog of the 2-Wasserstein Metric for which the Fermionic Fokker-Planck Equation is ...
Nov 13, 2012
A Non-Commutative Analog of the 2-Wasserstein Metric for ...
www.ias.edu › video › analysis › carlen
A Non-Commutative Analog of the 2-Wasserstein Metric for which the Fermionic Fokker-Planck Equation is Gradient Flow for the Entropy.
Institute for Advanced Study · Institute for Advanced Study ·
Nov 13, 2012
<== 5videos till 2012
end 2012
start 2013
Wha is … a Wasserstein distance?
'Berlin November 29, 2013,
5+1=6
<==6 till 2013
end 2013
start 2014 2 videos
Wasserstein Metric from Transport Theory and Ri... - NSF Math Institutes
NSF Media Library | Wasserstein Metric from Transport Theory and Riemannian Structure of Dens
Jun 12, 2014
What is … a Wasserstein distance? on Vimeo
- Uploaded by Berlin Mathematical School
A special subclass is formed by gradient flows with respect to the Wasserstein distance. This class was first ...
Oct 7, 2014
6+2=8
<== 8 till 2014
end 2014
start 2015 7 videos
Video: Hongkai Zhao, "Multi-scale Non-Rigid Point Cloud ...
Multi-scale Non-Rigid Point Cloud Registration Using Robust Sliced-Wasserstein Distance via Laplace-Beltrami Eigenmap.
Banff International Research Station · Banff International Research Station ·
Feb 17, 2015
A Review of Wasserstein Barycenter Algorithms, with a New One
Gabriel Peyré speaking at BIRS workshop, Advances in Numerical Optimal Transportation, on Thursday, February 19, 2015 on the topic: A Review ...
Banff International Research Station · Banff International Research Station · Feb 19, 2015
Gabriel Peyré speaking at BIRS workshop, Advances in Numerical Optimal Transportation, on Thursday, February 19, 2015 on the topic: A Review ...
Banff International Research Station · Banff International Research Station ·
Feb 19, 2015
Seminar: Spaces of Shapes Persistent Homology for Drug Discovery
Applied Algebraic Topology Network
Published on Jul 28, 2015
Date: 4/29/15
Speaker: Anthony Bak
Abstract: We use persistence homology to create topological signatures for
chemical compounds that reflect underlying chemical and biological
properties of the compounds. By creating a space out of the compounds
using the Wasserstein metric on barcodes we localize the species
bioactivity of a class of compounds called DHFR inhibitors. Using
support vector machine built off of barcode functions out results
achieve state of the art species separability.
Apr 29, 2015
1021：Fast Optimal Transport on GPGPUs
Published on Nov 29, 2015
2015年9月18日（金）に開催されたGTC Japan 2015での講演です。
Marco Cuturi
大学院情報学研究科
京都大学
Optimal transport distances (a.k.a Wasserstein distances or Earth Mover's distances, EMD) define a geometry to compare cloud of points living in a metric space. From a computational point of view, these distances can be computed by solving an optimal transport problem, which is typically carried out using the network simplex. I will show in this brief talk how an adequate regularization of that problem can result in substantially faster computations that can then unlock several methodological approaches grounded on the optimal transport geometry, from the computation of barycenters of probability measures to that of dictionaries, PCA, or parameter estimation, all carried out using the optimal transport geometry.
Nov 29, 2015
1021：Fast Optimal Transport on GPGPUs - YouTube
- Uploaded by NVIDIA JAPAN
Marco Cuturi 大学院情報学研究科 京都大学 Optimal transport distances (a.k.a ...
Optimal transport distances (a.k.a Wasserstein distances or Earth Mover's distances, EMD) define a geometry to compare cloud of points living in a metric space. From a computational point of view, these distances can be computed by solving an optimal transport problem, which is typically carried out using the network simplex. I will show in this brief talk how an adequate regularization of that problem can result in substantially faster computations that can then unlock several methodological approaches grounded on the optimal transport geometry, from the computation of barycenters of probability measures to that of dictionaries, PCA, or parameter estimation, all carried out using the optimal transport geometry.
Nov 30, 2015
Jan Maas: Optimal transport methods for discrete and quantum systems (part 1)
Mar 20, 2015 2-Wasserstein metric
Barycenter in Wasserstein space existence and consistency ...
Barycenter in Wasserstein space existence and consistency Thibaut Le Gouic, Jean Michel Loubes. 444 views444 views.
YouTube · GSI’15 : Geometric Science of Information ·
Nov 24, 2015
8 titles before 2015
+ 7 titles in 2015
= 15 tutles till 2015
end 2015
start 2016 8 videos
Getting Started With Research Papers On Machine Learning
www.digitalvidya.com › ... › Data ScienceGoogle is using driverless cars with the help of machine learning to make our ... from Google Brain have come up with the Wasserstein Auto encoder (WAE).
Digital Vidya · Two Minute Papers ·
Mar 2, 2016
Семинары: А. В. Гасников, Лекция 5 (часть 1). Алгебра над ...
Примеры приложения (поиск равновесия в многостадийной модели транспортных потоков, поиск барицентра Вассерштейна).
Math-Net.Ru · Optimization and Statistics ·
Mar 26, 2016
The Wasserstein Metric a.k.a Earth Mover's Distance: A Quick and Convenient Introduction
The Wasserstein Metric a.k.a Earth Mover's Distance - YouTube
Here are two papers that describe this in more detail:Y. Lavin, R. Kumar Batra, and L. Hesselink. Feature Comparisons of Vector Fields Using ...
YouTube · Bob Laramee ·
Jul 29, 2016
A Distance for HMMs Based on Aggregated Wasserstein and State Registration
Oct 13, 2016
A Non-Commutative Analog of the Metric for which the... Gradient Flow for the Entropy - Eric Carlen Published on Aug 17, 2016
Eric Carlen
Rutgers, The State University of New Jersey
November 13, 2012
The Fermionic Fokker-Planck equation is a quantum-mechanical analog of the classical Fokker-Planck equation with which it has much in common, such as the same optimal hypercontractivity properties. In this paper we construct a Riemannian metric on the space of density matrices that we show to be a natural analog of the classical 22-Wasserstein metric, and we show that, in analogy with the classical case, the Fermionic Fokker-Planck equation is gradient flow in this metric for the relative entropy with respect to the ground state. We derive a number of consequences of this, such as a sharp Talagrand inequality for this metric, and we prove a number of results pertaining to this metric. Several open problems are raised. This is joint work with Jann Maas.
Feb 23, 2015 - Uploaded by Udacity
The Wasserstein Metric a.k.a Earth Mover's Distance: A Quick and ... Regularized Wasserstein Distances ...
Wasserstein Barycentric Coordinates: Histogram Regression Using ...
- Uploaded by Nicolas Bonneel
Title: Wasserstein Barycentric Coordinates: Histogram Regression Using ... The Wasserstein Metric a.k.a ...
Apr 13, 2016
istogram Regression Using Optimal Transport - YouTube
Title: Wasserstein Barycentric Coordinates: Histogram Regression Using ... and in particular the definition of Wasserstein barycenters, ...
YouTube · Nicolas Bonneel ·
Apr 13, 2016
Histogram Regression Using Optimal Transport - YouTube
Wasserstein Barycentric Coordinates: Histogram Regression Using Optimal
Title: Wasserstein Barycentric Coordinates: Histogram Regression ... to optimize the entropic regularization of Wasserstein barycenters.
YouTube · Nicolas Bonneel ·
Apr 13, 2016
15 before 2013
+ 8 titles in 2016
= 223 till 2016
end 2016
start 2017 41 videos
2017 Jan=>
inference with Wasserstein distance | Xi'an's Og
... use of the Wasserstein distance in statistical inference, which main focus is exploiting this ... Which is why ...
Jan 23, 2017
1
2017 Feb=>
Wasserstein GAN model exploration 2/2 - YouTube
- Uploaded by Sztefciu
https://github.com/martinarjovsky/WassersteinGAN.
Feb 6, 2017
[D] Wasserstein GAN and the Kantorovich-Rubinstein Duality
ut the underlying reason for people to want to "care about WGAN" is ... Research 2022 - Outperforms the 600x larger PaLM-540B on XSum!
Reddit · Leo ·
Feb 24, 2017
3
2017 Mar=>
3
2017 Apr=>
Mike Tyka on Twitter: "WGAN, BE-GAN, WGAN2, LsGAN…
Never miss a Moment ... The media could not be played. ... you forgot the new queen, WGAN-GP! ... I stopped ...
Apr 4, 2017
7
2017 May=>
Probability, Statistics and Machine Learning, on Monday, May 1, 2017 on the topic: Regularization of ...
May 1, 2017 - Uploaded by Banff International Research Station
Regularization of Barycenters in the Wasserstein Space
www.birs.ca › videos › watch › 201705011300-Cazelles
Elsa Cazelles speaking at BIRS workshop, Optimal Transport meets Probability, Statistics and Machine Learning, on Monday, May 1, 2017 on the ...
Banff International Research Station · Banff International Research Station ·
May 1, 2017
Video: Clarice Poon, "The total variation Wasserstein gradient flow
meets Probability, Statistics and Machine Learning, on Tuesday, May 2, 2017 on the topic: The total variation ...
- Uploaded by Banff International Research Station
The total variation Wasserstein gradient flow - Open Collections
May 2, 2017
Deep adversarial learning is finally ready and will radically ...
medium.com › deep-adversarial-learning-is-finally-ready-...
medium.com › deep-adversarial-learning-is-finally-ready-...
Briefly introduce generative adversarial networks (GANs) and the major challenges associated with them; Summarize recent research (Wasserstein ...
Medium · Two Minute Papers ·
May 15, 2017
Video: Bertram Düring, "Lagrangian schemes for Wasserstein
... at BIRS workshop, Optimal Transportation and Differential Geometry, on Thursday, May 24, 2012 on the topic ...
May 24, 2012 · Uploaded by Banff International Research Station
Tommaso Pacini, "Differential forms and symplectic geometry on Wasserstein space
www.birs.ca › videos › watch › 201205241112-Pacini
www.birs.ca › videos › watch › 201205241112-Pacini
... and Differential Geometry, on Thursday, May 24, 2012 on the topic: Differential forms and symplectic geometry on Wasserstein space.
Banff International Research Station · Banff International Research Station ·
May 24, 2012
"How to Train a GAN" at NIPS2016 workshopのメモ - 緑茶思考ブログ
- Uploaded by David Lopez-Paz
NIPS2016でのWorkshop on Adversarial Training「How to train a GAN」での ...
May 28, 2017
Cooper Union End of the Year Show 2017
cooper.edu › engineering › research › CUEOYS_2017[STUDENT POSTER] ORIGINAL FONT GENERATION USING CONDITIONAL WASSERSTEIN GAN WITH GRADIENT PENALTY -- T.K., S.P. (EE'18).
The Cooper Union · Miles Barber ·
May 30, 2017
13
2017 June->
THU AI Reading Group: Improved Training of Wasserstein ...
https://www.slideshare.net/ckmarkohchang/nthu-ai-reading-group-improved-training-of-wasserstein-gans0:00:00 Chanwei Hu Excited !0:00:00 沅 ...
YouTube · Mark Chang ·
Jun 6, 2017
Improved Training of Wasserstein GANs - YouTube
- Uploaded by Mark Chang
https://www.slideshare.net/ckmarkohchang/nthu-ai-reading-group-improved-training-of-wasserstein-gans 0 ...
Jun 6, 2017
Sliced Wasserstein Generative Models | Papers With Code
In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the ...
Jun 8, 2017 · Uploaded by cantabilewq
Martin Arjovsky (WGAN) Interview 4,864 views The Nutty Netter (Alex Lamb)
Streamed live on Jun 12, 2017
My interview with Martin Arjovsky (NYU PhD student studying Machine Learning and AI) on the theory of generative adversarial networks, biological plausibility of deep credit assignment, and his work on the Wasserstein GAN. 1:33 Start of Interview 15:15 Criticisms of Maximum Likelihood 27:55 Wasserstein GAN and Generative Models 54:20 Deep Learning without backprop and biological plausibility 59:54 Future of Deep Learning Research as a Professional Career Path Links to papers: https://arxiv.org/abs/1701.07875 https://arxiv.org/abs/1701.04862 https://arxiv.org/abs/1704.00028
Jun 12, 2017
[R] [1701.07875] Wasserstein GAN : r/MachineLearning - Reddit
www.reddit.com › r_170107875_wasserstein_gan
www.reddit.com › r_170107875_wasserstein_gan[R] [1701.07875] Wasserstein GAN. r/MachineLearning - [R] [1701.07875] Wasserstein GAN ... ian_goodfellow Google Brain • 6 yr. ago.
Reddit ·
Jan 30, 2017
18
2017 Jul=>
Соперничающие сети (GAN) - Нейронные сети в машинном ...
- Uploaded by Технострим Mail.Ru Group
Равновесие Нэша. Генеративные конкурирующие сети (GAN). ... Wasserstein GAN. ... Семинар:Реализация архитектуры GAN для генерации лиц.
Jul 16, 2017
19
2017 Aug=>
David Koslicki: "Using the Earth-mover's Distance to compare ...
- Uploaded by ZarlabUCLA
David Koslicki: "Using the Earth-mover's Distance to compare microbial ... The Wasserstein Metric a.k.a ...
Aug 1, 2017
09. Regularized Wasserstein Distances & Minimum Kantorovich ...
Uploaded by Компьютерные науки
Deep Learning: Theory, Algorithms, and Applications. Berlin, June 2017 The workshop aims at bringing ...
Aug 3, 2017
Wasserstein GAN learns to generate MNIST digits
265 views
Aug 16, 2017
Wasserstein GAN learns to generate MNIST digits - YouTube
- Uploaded by M Y
Each frame is 10 iterations of generator.
Aug 17, 2017
Finding the closest probabilistic Parseval frame in the 2-Wasserstein ...
- by D Cheng - 2017 - Related articles
We show this is also the case for probabilistic frames in the 2-Wasserstein .....
Aug 24, 2017
On differentiability in the Wasserstein space o... » NSF ...
mathinstitutes.org › videos › videos
mathinstitutes.org › videos › videos
- This is a video about On differentiability in the Wasserstein space of ... phase- space is the Wasserstein space of Borel probability measures ...
Aug 29, 2017
25
2017 Sep=>
Wasserstein-geometry as a natural language for Quantum hydrodynamics
(MP4 Medium Res, MP3, PDF)
Speaker(s): Bernadette Lessel
Scientific Areas: Quantum Foundations
Collection/Series: Quantum Foundations
PIRSA Number: 16050049
Abstract In this talk I would like to put forward Wasserstein-geometry as a natural language for Quantum hydrodynamics. Wasserstein-geometry is a formal, infinite dimensional, Riemannian manifold structure on the space of probability measures on a given Riemannian manifold. The basic equations of Quantum hydrodynamics on the other hand are given by the Madelung equations. In terms of Wasserstein-geometry, Madelung equations appear in the shape of Newton's second law of motion, in which the geodesics are disturbed by the influence of a quantum potential. This was pointed out in 2008 by Max. K. von Renesse. Finally, based on the notion of Wasserstein-distance, I will will briefly introduce a natural notion of Shape Space and some of its properties.
Pirsa: 16050049 - Wasserstein-geometry as a natural language for Quantum hydrodynamics
Sep 1, 2017
Mean Field Games (Schedule) - ipam.UCLA
www.ipam.ucla.edu › programs › workshops › mean-fiel...
www.ipam.ucla.edu › programs › workshops › mean-fiel...
René Carmona (Princeton University) ... On differentiability in the Wasserstein space of probability measures. 2:50 - 3:30.
ipam.UCLA ·
Sep 1, 2017
Wasserstein GAN training - YouTube
- Uploaded by M Y
Wasserstein GAN training. M Y. Loading... Unsubscribe from M Y? Cancel
Sep 8, 2017
Wasserstein Generative Adversarial Network review
YouTube · 1,000+ views
· 9/19/2017
· by Mr.JLai
Sep 19, 2017
Wasserstein Generative Adversarial Network review - YouTube
- Uploaded by Mr.JLai
Paper review of Wasserstein GAN https://arxiv.org/abs/1701.07875.
Sep 20, 2017
Wasserstein GAN learns to generate MNIST - YouTube
- Uploaded by M Y
Wasserstein GAN learns to generate MNIST. M Y ... Introduction to GANs, NIPS 2016 | Ian Goodfellow, OpenAI ...
Sep 25, 2017
30
2017 Oct=>
Enhancing Underwater Imagery using GANs
irvlab.cs.umn.edu › underwater-image-restoration
irvlab.cs.umn.edu › underwater-image-restoration
"Improved training of wasserstein gans." arXiv preprint arXiv:1704.00028 (2017). [9] Arjovsky, Martin, Soumith Chintala, and Léon Bottou. "Wasserstein gan." ...
Minnesota Interactive Robotics and Vision Laboratory · Cam Fabbri ·
Oct 1, 2017
Multilevel Clustering via Wasserstein Means
This is "Multilevel Clustering via Wasserstein Means --- Nhat Ho, Long Nguyen, Mikhail Yurochkin ...
Oct 14, 2017 · Uploaded by TechTalksTV
Jianbo Ye, James Wang, Jia Li on Vimeo
vimeo.com › TechTalksTV › Videos
This is "A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization --- Jianbo Ye, James Wang, Jia Li" by TechTalksTV on ...
Oct 14, 2017
Sliced Wasserstein Kernel for Persistence Diagrams on Vimeo
vimeo.com › TechTalksTV › Videos
vimeo.com › TechTalksTV › Videos
This is "Sliced Wasserstein Kernel for Persistence Diagrams" by TechTalksTV on Vimeo, the home for high quality videos and the people who ...
Vimeo · TechTalksTV ·
Oct 31, 2017
34
2017 Nov=>
no code implementations • 16 Sep 2022 • Yoni Choukroun, Lior Wolf ... Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction.
Papers With Code · ComputerVisionFoundation Videos ·
Nov 16, 2017
建议开篇前前往这个链接，虽然主要是讲WGAN,前面也会讲到GAN,写得非常的棒： 令人拍案叫绝的 ...
Nov 24, 2017
Visual Feature Attribution using Wasserstein GANs
paperswithcode.com › paper › review
paperswithcode.com › paper › review
Visual Feature Attribution using Wasserstein GANs. Attributing the pixels of an input image to a certain ... Train, Test, Validation, Total. Num. Imag.
Papers With Code · Ross Taylor ·
Nov 26, 2017
37
2017 Dec=>
Wasserstein Generative adversarial Networks (WGANs) in in tensor filow
We discussed Wasserstein GANs which provide many improved functionalities over GANs. We then train a ...
Dec 23, 2017 · Uploaded by AI Journal
Wasserstein Generative adversarial Networks (WGANs) in Tensorflow
YouTube · 9,000+ views · 12/24/2017 · by AI Journal
Dec 24,2018
Архив семинаров 2017 года - Информационная система
- Uploaded by Институт Философии РАН
Выживаемость в пространстве Васерштейна также предполагается использовать при исследовании задач управления в пространстве вероятностей.
Dec 30, 2017
23 before 2017
+ 41 in 2017
= 64 till 2017
end 2017
start 2018 34 videos
2018 Feb=>
Search fo r GANs | Papers With Code
paperswithcode.com › search
Improved Training of Wasserstein GANs ... Generative Adversarial Networks (GANs) excel at creating realistic images with complex models for which maximum ...
Papers With Code · Tero Karras FI ·
Feb 23, 2018
2018 Mar=>
Wasserstein Distance and the Distributionally Robust TSP
John Gunnar Carlsson speaking at BIRS workshop, Distributionally Robust Optimization, on Tuesday, March 6, 2018 on the topic: Wasserstein ...
Banff International Research Station · Banff International Research Station ·
Mar 6, 2018
Video: John Gunnar Carlsson, "Wasserstein Distance and the .
Wasserstein Distance and the Distributionally Robust TSP
John Gunnar Carlsson speaking at BIRS workshop, Distributionally Robust
March 6, 2018
Wasserstein Generative Adversarial Networks on Intel DevCloud
595 views
Mar 9, 2018
Wasserstein Generative Adversarial Networks on Intel ...
This video is sort of a LIVE coding session. This video is affiliated with Intel. I hope this will get you started with ...
Mar 9, 2018 · Uploaded by AI Journal
Single Image Haze Removal | Papers With Code
paperswithcode.com › single-image-haze-removal › latest
paperswithcode.com › single-image-haze-removal › latest15 Feb 2022 ... IEEE Transaction on Image Processing 2020 ... Single Image Haze Removal Using Conditional Wasserstein Generative Adversarial Networks.
Papers With Code · Bharath Raj ·
Mar 9, 2018
6
2018 Apr=>
441 views
•Apr 6, 2018
YouTube · 506 views · 4/6/2018 · by Benjamin Striner
Apr 6, 2018
Video: Elsa Cazelles, "Regularization of Barycenters in the Wasserstein space
Sep 3, 2021Tuesday,
April 10, 2018 10:32 - 11:18 see May 1, 2017
Video: Gaël Raoul, "Wasserstein estimates and macroscopic ...
. and their Applications, on Monday, April 9, 2018 on the topic: Wasserstein estimates and macroscopic limits in a model from ecology.
Banff International Research Station · Banff International Research Station ·
Apr 9, 2018
Video: Wilfrid Gangbo,
"A partial Laplacian as an infinitesimal generator on the Wasserstein space"
.www.birs.ca › videos › watch › 201804101032-Gangbo
Video for "wasserstein space"46:00
A partial Laplacian as an infinitesimal generator on the Wasserstein space. Wilfrid Gangbo at 18w5069 ...
Apr 10, 2018 - Up
Wasserstein Generative adversarial Networks (WGANs) in Tensorflow ...
- Uploaded by AI Journal
Wasserstein Generative adversarial Networks (WGANs) in Tensorflow8:59. AI Journal 728 views ... wasserstein ...
Apr 10, 2018
Detecting tiny objects in aerial images: A normalized Wasserstein distance and ... scheme is essential for the success of Neural Architecture Search (NAS).
Papers With Code · Two Minute Papers ·
Apr 12, 2018
Joint Wasserstein GAN contribution - CERN Document Server
This is a merger of three individual contributions: - https://indico.cern.ch/event/668017/contributions/2947026/ ...
Apr 12, 2018
14
2018 May=>
Darina Dvinskikh "Randomized distributed computation of Wasserstein barycenter with mini batch"
May 15, 2018
GAN Lecture 6 (2018): WGAN, EBGAN
15,391 views •
May 18, 2018
【MT】Wasserstein Generative adversarial Networks (WGANs) in ...
【MT】Wasserstein Generative adversarial Networks (WGANs) in ... 介绍WGAN和 ...
May 25, 2018
17
2018 Jul=>
Dirac-GAN (Wasserstein-GAN, n_d=5) - YouTube
- Uploaded by Lars Mescheder
Dirac-GAN (Wasserstein-GAN, n_d=5). Lars Mescheder. Loading... Unsubscribe from Lars Mescheder ...
Nuts and Bolts of WGANs, Kantorovich-Rubistein Duality ...
- Uploaded by Crazymuse
If you have seen the last video on GANs, it may have created an illusion that training GANs is super easy. But ...
Jul 24, 2018
Video: Jonathan Scott, "Wasserstein distance for generalized ...
· Uploaded by Banff International Research Station
Homology, on Tuesday, August 7, 2018 on the topic: Wasserstein distance for generalized persistence ...
Aug 7, 2018
20
2018 Sep=>
Ilya Tolstikhin @ QUVA - YouTube
www.youtube.com › watch
Wasserstein Autoencoders: From Optimal Transport to Generative Modeling (and Beyond) by Ilya Tolstikhin (Max Planck Institute)This talk is ...
YouTube · Qualcomm-UvA Deep Learning Seminars ·
Sep 4, 2018
Approximate Bayesian computation with the Wasserstein distance
Approximate Bayesian computation with the Wasserstein ...
Approximate Bayesian computation with the Wasserstein distance. 1.1K views 4 years ago. Institute for Mathematical Sciences.
YouTube · Institute for Mathematical
Sciences ·
Sep 12, 2018
IDEA Talk WEDS: Andrew Yale on "Wasserstein GANs and ...
- Uploaded by The Rensselaer IDEA
More specifically we will be talking about the privacy of medical data and how we can use Wasserstein GANs ...
Sep 19, 2018
23
2018 Oct=>
A Two-Step Computation of the Exact GAN Wasserstein ...
· Uploaded by TechTalksTV
This is "A Two-Step Computation of the Exact GAN Wasserstein Distance" by TechTalksTV on Vimeo, the home ...
Oct 2, 2018
A short introduction to approximate Bayesian computation (ABC)
1,207 views •
Oct 3, 2018
Towards High Resolution Video Generation with Progressive ...
paperswithcode.com › paper › towards-high-resolution-vi...
Furthermore, we introduce a sliced version of Wasserstein GAN (SWGAN) loss to improve the distribution learning on the video data of ...
Papers With Code · cantabilewq ·
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs
Oct 4, 2018
WGANs-Part-2 Problems with distribution estimators - EdYoda
www.edyoda.com › watch
WGANs-Part-2 Problems with distribution estimators. GO TO COURSE GO TO COURSE. Like Video ... 2022 zekeLabs Technologies Private Limited ...
EdYoda ·
Oct 18, 2018
WGANs-Part-2 Problems with distribution estimators. 0 likes. |. 179 views. Video Thumbnail ... 2022 zekeLabs Technologies Private Limited ...
EdYoda ·
Oct 18, 2018
Uncoupled Isotonic Regression and Wasserstein Deconvolution
Speaker: Jonathan Weed -- Graduate Student, MIT Abstract: Isotonic regression is a standard problem in shape-constrained estimation where ...
YouTube · Stanford Research Talks ·
Oct 26, 2018
29
2018 Nov—>
Faster Algorithm for Wasserstein Barycenters - YouTube
Short video describing our paper on the distributed computation of Wasserstein barycenters.
YouTube · César A. Uribe ·
Nov 22, 2018
Faster Algorithm for Wasserstein Barycenters - YouTube
Nov 23, 2018
29
2018 Dec—>
LDAV 2018: Lifted Wasserstein Matcher for Fast and ... - Vimeo
vimeo.com › VGTCommunity › Videos
vimeo.com › VGTCommunity › Videos
Dec 6, 2018
Video: Carola-Bibiane Schönlieb, "Wasserstein for learning ...
Carola-Bibiane Schönlieb speaking at BIRS workshop, Shape Analysis, Stochastic Geometric Mechanics and ...
Dec 11, 2018 · Uploaded by Banff International Research Station
Wasserstein for learning image regularisers
Carola-Bibiane Schönlieb, University of Cambridge
Tuesday, December 11, 2018 09:42 - 10:22
Dec 11, 2018
Gromov-Wasserstein Alignment of Word Embedding Spaces
This is "Gromov-Wasserstein Alignment of Word Embedding Spaces" by ACL on Vimeo, the home for high ...
Dec 11, 2018 · Uploaded by ACL
Learning and Inference with Wasserstein Metrics
books.google.com › books
Charles Albert Frogner · 2018 · No preview
In this work, we describe a novel approximate inference method, which is based on a characterization of the diffusion as following a gradient flow in a space of probability densities endowed with a W
2018
64 titles till 2017
+ 34 in 2018
= 98 till 2018
end 2018
start 2019 51 videos
Wasserstein metric - Twitter
Aquí puedes encontrar la grabación del seminario: "Principled Training of Generative Adversarial Networks with Wasserstein metric and Gradient Penalty".
Twitter ·
Jan 10, 2019
Data-Driven Chance Constrained Programs over Wasserstein ...
We provide an exact deterministic reformulation for data-driven chance constrained programs over Wasserstein balls. For individual chance ...
Open Collections · Wiesemann, Wolfram ·
Jan 14, 2019
십분딥러닝_16_WGAN (Wasserstein GANs)_1 - YouTube
임성빈, SlideShare, Wasserstein GAN 수학 이해하기, https://www.slideshare.net/ssuser7e10... (Kantorovich ...
Jan 20, 2019 · Uploaded by 10min deep learning
십분딥러닝_16_WGAN (Wasserstein GANs)_2 - YouTube
임성빈, SlideShare, Wasserstein GAN 수학 이해하기, https://www.slideshare.net/ssuser7e10... (Kantorovich ...
Jan 20, 2019 · Uploaded by 10min deep learnin
러닝_16_WGA십분딥N (Wasserstein GANs)_1 - YouTube
Jan 20, 2019 - Uploaded by 10min deep learning
WGANs, Wasserstein Generative Adversarial Networks 에 대한 설명입니다. (좀더 나은 설명을 위해 여러번 동영상을 재업 ...
YouTube · 691 views · 2/17/2019
by Jinsung Yoon
Jan 20, 2019
5
2019 Feb=>
PR-142: Wasserstein GAN - YouTube
PR-142: Wasserstein GAN. 2,462 views2.4K view . 43. Dislike. Share. Save. Jinsung Yoon. Jinsung Yoon. 90 subscribers.
YouTube · Jinsung Yoon · ≈∂ç
Feb 17, 2019
Eric Wong on Twitter: "New paper on Wasserstein adversarial ...
Postdoc at MIT working on optimization and robustness problems. Pittsburgh, PA. github.com/riceric22. Joined ...
Feb 23, 2019
6
2019 Mar=>
Why don't we all use WGAN instead of GAN
t seems to me that a Wasserstein-GAN has much better properties than a regular GAN. - In regular GANs, the ...
Mar 4, 2019 · Upl
Lenz Belzner (@LenzBelzner) / Twitter
mobile.twitter.com › lenzbelzner0:05
My internship work at Google Brain is out on Arxiv: https://arxiv.org/abs/1903.11780 . ... We propose an alternative based on the Wasserstein distance.
Twitter ·
Mar 4, 2019
Wasserstein Information Geometry for Learning
Abstract. Guido Montufar - University of California, Los Angeles (UCLA), Mathematics and Statistics This lecture ...
Mar 14, 2019
7
2019 Apr=>
Sliced Wasserstein Generative Models
In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the ...
Apr 11, 2019 · Uploaded by cantabilewq
Wasserstein GAN generating Graffiti Tags Smode effects
YouTube · 111 views ·
4/11/2019 · by mASLLSAm
Apr 11, 2019
Zhiwu Huang - Papers With Code
paperswithcode.com › searchIn generative modeling, the Wasserstein distance (WD) has emerged as a useful ... (RL) based neural architecture search (NAS) methodology for effective and ...
Papers With Code · cantabilewq ·
Apr 11, 2019
Sliced Wasserstein Generative Models - Papers With Code
paperswithcode.com › paper › sliced-wasserstein-generati...
In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the discrepancy between generated and real data ...
Papers With Code · cantabilewq ·
Apr 13, 2019
Learning 34: (1) Wasserstein Generative Adversarial Network (WGAN): Introduction
YouTube · 9,000+ views
· 4/16/2019 · by Ahlad Kumar
Apr 16, 20
Deep Learning 34: (1) Wasserstein Generative Adversarial Network (WGAN): Introduction
4,053 views •
Apr 16, 2019
(1) Wasserstein Generative Adversarial Network (WGAN ...
www.youtube.com › watch eep Learning 35: (2) Wasserstein Generative Adversarial Network (WGAN): Wasserstein metric. Ahlad Kumar. Ahlad Kumar.
YouTube · Ahlad Kumar ·
Apr 16, 2019
2) Wasserstein Generative Adversarial Network (WGAN)
In this lecture a detailed discussion on Wasserstein metric is carried out.
YouTube · Ahlad Kumar ·
Apr 21, 2019
Deep Learning 35: (2) Wasserstein Generative Adversarial
- Uploaded by Ahlad Kumar
In this lecture a detailed discussion on Wasserstein metric is carried out. (1) https://ieeexplore.ieee.org ...
Apr 22, 2019
Deep Learning 36: (3) Wasserstein Generative Adversarial Network (WGAN): WGAN Understanding
1,902 views •
Apr 28, 2019
Deep Learning 36: (3) Wasserstein Generative Adversarial ...
In this lecture, basic understanding of Wasserstein Generative Adversarial Network (WGAN) is discussed ...
Apr 29, 2019 · Uploaded by Ahlad Kumar
YouTube · 298 views ·
Apr 30, 2019 · by AGIST audio not English
18
2019 May=>
Deep Learning 37: (4) Wasserstein Generative Adversarial ...
In this lecture implementation of Wasserstein Generative Adversarial Network (WGAN) is performed in TensorFlow using Google ...
YouTube · Ahlad Kumar ·
May 5, 2019
Lecture 6 对抗生成网络GAN(2018) Wasserstein GAN(WGAN
Lecture 6 对抗生成网络GAN(2018) Wasserstein GAN(WGAN) 和Energy-based ...
May 19, 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning ...
paperswithcode.com › paper › review
paperswithcode.com › paper › review
We propose a scalable Gromov-Wasserstein learning (S-GWL) method and establish a novel and theoretically-supported paradigm for large-scale graph analysis.
Papers With Code · Ross Taylor ·
May 20, 2019 paper
21
2019 Jun
From shallow to deep learning for inverse imaging problems
www.youtube.com › watche ... Why Your Brain Thinks This Water Is Spiralling | Science Of Illusions | WIRED.
YouTube · The Alan Turing Institute ·
Jun 12, 2019
On Wasserstein Gradient Flows and Particle-Based ...
crossminds.ai › video › on-wasserstein-gradient-flows-and...
crossminds.ai › video › on-wasserstein-gradient-flows-and...
On Wasserstein Gradient Flows and Particle-Based Variational Inference.
. 0. Ruiyi Zhang. Follow. Recommended. Details. Comments.
. 0. Ruiyi Zhang. Follow. Recommended. Details. Comments.
Jun 15, 2019
23
2019 July ->
How to Develop a Wasserstein Generative Adversarial Network (WGAN) From Scratch
by Jason Brownlee on in Generative Adversarial Networks
by Jason Brownlee on July 17, 2019 in Generative Adversarial Networks
July 17, 2019
rogressive Wasserstein Barycenters of Persistence Diagrams
www.youtube.com › watch
Link to the paper: https://julien-tierny.github.io/stuff/papers/vidal_vis19.
YouTube · Julien Tierny ·
Jul 18, 2019
July 23rd 13 Sinkhorn AutoEncoders - YouTube
Introduction to the Wasserstein distance ... Machine-learning Methods – Part A (FRM Part 1 2023 – Book 2 – Quantitative Analysis – Chapter ...
YouTube · uai2
Jul 23,2019
26
2019 Aug=>
26
2019 Sep=>
[VIS19 Preview] Progressive Wasserstein Barycenters of ...
Abstract: This paper presents an efficient algorithm for the progressive approximation of Wasserstein ...
Sep 14, 2019 · Uploaded by VGTCommunity
Estimation of smooth densities in Wasserstein distance
Sep 16, 2019 182 views•
Estimation of smooth densities in Wasserstein distance289 views
Sep 17, 2019
GAN Lecture 6 (2018): WGAN, EBGAN_哔哩哔哩(゜-゜)つロ…
http://bing.com GAN Lecture 6 (2018): WGAN, EBGAN 字幕版之后会放出，敬请持 ...
Sep 23, 2019
Talks & Posters – César's Webpage
cauribe.mit.edu › invited-talks-posters-and-abstracts
On the Complexity of Approximating Wasserstein Barycenters. INFORMS Annual Meeting 2019; Invited Seminar at Rensselaer Polytechnic Institute 2019 ...
César A. Uribe · CSL Student Conference ·
Sep 23, 2019
31
2019 Oct =>
Estimating the Wasserstein Metric - Jonathan Niles-Weed .
Uploaded by Institute for Advanced Study
Estimating the Wasserstein Metric - Jonathan Niles-Weed ... Regularized Wasserstein Distances & Minimum ...
- Uploaded by Institute for Advanced Study 10,162 view
Oct 4, 2019
Estimating the Wasserstein Metric - Institute for Advanced Study
www.ias.edu › video › postdoc › 1004-JonathanNiles-Weed
Estimating the Wasserstein Metric. Date. October 04, 2019. Affiliation. Member, School of Mathematics. Speakers. Jonathan Niles-Weed · School of Mathematics.
Institute for Advanced Study · Institute for Advanced Study ·
Oct 4, 2019
aiacademy: 生成對抗網路GAN - Wasserstein GAN (WGAN
aiacademy: 生成對抗網路gan - wasserstein gan (wgan). oct 4, 2019 ...
oct 4, 2019
Stochastic Wasserstein Autoencoder for Probabilistic
This is "Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation" by TechTalksTV on Vimeo ...
Oct 7, 2019 · Upload
ICML 2019 Generative Adversarial Networks Paper ...
Paper: Wasserstein of Wasserstein Loss for Learning Generative Models45:27 ... Paper: Flat Metric Minimization with Applications in Generative Modeling50:08.
VideoKen ·
Oct 13, 2019
PR-142: Wasserstein GAN_哔哩哔哩(゜-゜)つロ干杯~-bilibili
http://bing.comPR-142: Wasserstein GAN字幕版之后会放出，敬请持续关注欢迎加入人工 ...
Oct 15, 201
Aswin Shriram U T (@AswinShriram) / Twitter
NASA Asteroid Watch ... approach for the low-data regime that calculates the Wasserstein distance (aka the earth mover's distance) between expert and agent, ...
Twitter · Oct 17, 2019
38
2019 Nov->
Multi-marginal Wasserstein GAN - Papers With Code
paperswithcode.com › paper › review
Multi-marginal Wasserstein GAN. Multiple marginal matching problem aims at learning mappings to match a source domain to multiple target domains and it has ...
Papers With Code · Ross Taylor ·
Nov 1, 2019
CAM Colloquium - Ziv Goldfeld (11/1/19) - YouTube
www.youtube.com › watchCAM - Cornell Center for Applied Math Colloquium ... Unfortunately, empirical approximation under Wasserstein distances suffers from a ...
YouTube · CAM - Cornell Center for Applied Math Colloquium ·
Nov 4, 2019
2019 TutORial: Wasserstein Distributionally Robust Optimization- YouTube
2019 TutORial: Wasserstein Distributionally Robust Optimization
Given by Daniel Kuhn at 2019 INFORMS Annual Meeting in Seattle, WA.Many decision problems in science, engineering and economics are affected ...
YouTube · INFORMS ·
Nov 5, 2019 see Dec
41
2019 Dec->
Katharine Turner (12/3/19): Why should q=p in the ... - YouTube
Title: Why should q=p in the Wasserstein distance between persistence diagrams? Let me count the ways ...
Dec 3, 2019 · Uploaded by Applied Algebraic Topology Network
Dec 4, 2019
Tweets with replies by Balaji Lakshminarayanan ... - Twitter
mobile.twitter.com › balajiln › with_repliesBrain. Previously. @DeepMind . Mountain View, CA gatsby.ucl.ac.uk/~balaji Joined March ... The Cramer Distance as a Solution to Biased Wasserstein Gradients.
Twitter ·
Dec 7, 2019
Optimal Transport - The Wasserstein Metric
2,238 views Math 707: Optimal Transp
735 subscribers
Dec 13, 2019
Optimal Transport - Wasserstein Barycentres - YouTube
Math 707: Optimal Transport Wasserstein Barycentres October 21, ... Gradient descent algorithms for Bures-Wasserstein barycenters.
YouTube · Brittany Hamfeldt ·
Dec 13, 2019
Optimal Transport - Gradient Flows in the Wasserstein Metric
Math 707: Optimal TransportGradient Flows in the Wasserstein MetricDecember 2, 2019This is a lecture on "Gradient Flows in the Wasserstein ...
YouTube · Brittany Hamfeldt ·
Dec 13, 2019
Math 707: Optimal TransportThe Wasserstein Metric
October 9, 2019This is a lecture on "The Wasserstein Metric" given as a part of Brittany ...
YouTube · Brittany Hamfeldt ·
Dec 13, 2019
Daniel Kuhn · Wasserstein Distributionally Robust Optimization
slideslive.com › wasserstein-distributionally-robust-optimi...
slideslive.com › wasserstein-distributionally-robust-optimi...We consider stochastic optimization problems where the distribution of the uncertain parameters is only observable through a finite training ...
SlidesLive ·
Dec 13, 2019
Improved Training of Wasserstein GANs Presentation Group J
... for COMP7404 Computational intelligence and machine learning at HKU. The original paper is improved-training-of-Wasserstein-GANs.
YouTube · Junyue Liu ·
Dec 15, 20120
2019 TutORial: Wasserstein Distributionally Robust Optimization
Wasserstein distributionally robust optimization seeks data-driven decisions that perform well under the most ...
Dec 20, 2019 · Uploaded by INFORMS
98 titles before 2019
+ 51 in 2019
= 149
end 2019
start 2020 134 videos
Rémi Flamary (@RFlamary) / Twitter
For the L2-Gromov-Wasserstein distance, we study the structure of minimizers in ... Graphs with Fused Gromov-Wasserstein Barycenters" in collaboration with.
Twitter ·
Jan 1, 2020
Primal Wasserstein Imitation Learning - Google Sites
sites.google.com › view › wasserstein-imitation
sites.google.com › view › wasserstein-imitation
Finally, we show that the behavior of the agent we train matches the behavior of the expert with the Wasserstein distance, rather than the commonly used proxy ...
Google Sites · Imitation Learning ·
Jun 8, 2020
2
2020 Feb=>
Jonathan Niles-Weed (NYU/IAS) - Estimation of the/… - YouTube
Estimation of the Wasserstein distance in the spiked transport model
Jonathan Niles-Weed (NYU/IAS) - Estimation of the Wasserstein distance in the spiked transport model. 287 ...
Feb 5, 2020 - Uploaded by MIFODS
Tyler Maunu (MIT) -- Gradient descent algorithms for Bures-Wasserstein
41"35
Jonathan Niles-Weed (NYU/IAS) - Estimation of the Wasserstein distance in the spiked transport model ...
- Uploaded by MIFODS
Gradient descent algorithms for Bures-Wasserstein barycenters
Feb 5, 2020
Gradient descent algorithms for Bures-Wasserstein barycenters
Tyler Maunu (MIT) -- Gradient descent algorithms for Bures-Wasserstein barycenters. 397 views 2 years ago.
YouTube · FODSI ·
Feb 5, 2020
2020 Nar=>
We aim to generate 32x32 pixel images of celebrity faces from the CelebA image data set. Here we used a ...
Mar 7, 2020 · Uploaded by Temporarily Anonymous
We aim to generate 64x64 pixel images of celebrity faces from the CelebA image data set. Here we used a ...
Mar 27, 2020 · Uploaded by Temporarily Anonymous
Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning"
Daniel Kuhn: "Wasserstein Distributionally Robust ... - YouTube
... that perform well under the most adverse distribution within a certain Wasserstein distance from a nominal ...
Apr 9, 2020 - Uploaded by Institute for Pure & Applied Mathematics (IPAM)
Statistical and Computational aspects of Wasserstein Barycenters
Rigollet @ MAD+ (8 Apr 2020). 439 ...
Apr 21, 2020
LATENT | Wasserstein GP GAN Loss Landscape morphology ...www.youtube.com › watch
Video for wasserstein space 1:00
Loss Landscape generated with real data: wasserstein GP Gan, celebA dataset, sgd-adam, bs=64, train mod ...
Apr 26, 2020 - Uploaded by Javier ideami
Apr 26, 2020 - Uploaded by Javier ideami
Constrained Wasserstein Barycenters for Image Morphing
A short description of our CVPR 2020 paperhttps://arxiv.org/abs/1912.11545.
YouTube · Dror Simon ·
Apr 26, 2020
Theory Seminar: Smooth Wasserstein Distance: Metric ...
www.cs.cornell.edu › content › theory-seminar-smooth...
Apr 27, 2020 — Streaming via Zoom ... This talk proposes a novel smooth 1-Wasserstein distance (W1), t\
2020 May->
An Invitation to Statistics in Wasserstein Space - YES24
An Invitation to Statistics in Wasserstein Space · 이 책을 구입하신 분들이 함께 산 책 · 품목정보 · 관련분류 · 상품정보안내 · 배송/반품/교환 안내 · 이 ...
YES24 · 예스티비 ·
May 2, 2020
Wind: Wasserstein Inception Distance For Evaluating ... - IEEE.tv
ieeetv.ieee.org › ondemand › wind-wasserstein-inception-...
In this paper, we present Wasserstein Inception Distance (WInD), a novel metric for evaluating performance of Generative Adversarial Networks (GANs).
IEEE.tv ·
May 3, 2020
A Deeper Understanding Of The Quadratic Wasserstein Metric ...
www.msri.org › Workshop › Schedules
We show that the quadratic Wasserstein metric has a "smoothing" effect on the inversion process, making ... Please report video problems to itsupport@msri.org.
May 5, 2020
Augmented Sliced Wasserstein Distances - Papers With Code
paperswithcode.com › paper › review
While theoretically appealing, the application of the Wasserstein distance to large-scale machine learning ...
May 7, 2020 - Uploaded by Ross Taylor
From GAN to WGAN - Papers With Code
paperswithcode.com › paper › from-gan-to-wgan › review 1:05
This paper explains the math behind a generative adversarial network (GAN) model and why it is hard to be ...
May 7, 2020 · Uploaded by Ross Taylor
Wasserstein K-Means for Clustering Tomographic ProjectTable 1:
Seconds per iteration averaged (over two runs) for the L2 and W1 metrics and the number of iterations ...
May 7, 2020 · Uploaded by Ross Taylor
The latest in Machine Learning | Papers With Code
istributional Sliced-Wasserstein and Applications to Generative Modeling. Sliced-Wasserstein distance (SW ...
May 7, 2020 · Uploaded by Ross Taylor
진보된 GAN - CGAN과 WGAN - YouTube
이전 시간에 살펴본 DCGAN에서 보다 진보된 GAN인 CGAN과 WGAN을 살펴봤습니다.* 강의자료 다운로드: ...
May 24, 2020 · Uploaded by 룩팍
Arif Dönmez (@ArifDoenmez) / Twitter
MSc in Mathematics w/ minor in Computer Science ... New small preprint "
Stability of Entropic Wasserstein Barycenters and application to random geometric ...
Twitter ·
May 30, 2020
Fixed-Support Wasserstein Barycenters: Computational ...
paperswithcode.com › paper › review
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm. We study the fixed-support Wasserstein barycenter problem (FS-WBP), ...
Papers With Code · Ross Taylor ·
May 30, 2020
Parallel Streaming Wasserstein Barycenters - Papers With Code
paperswithcode.com › paper › review
One principled way to fuse probability distributions is via the lens of optimal transport: the Wasserstein barycenter is a single distribution that summarizes a ...
Papers With Code · Ross Taylor ·
May 31, 2020
2020 Jun=>
Jun 19, 2020
[R] Primal Wasserstein Imitation Learning : MachineLearning
Finally, we show that the behavior of the agent we train matches the behavior of the expert with the Wasserstein ...
Jun 9, 2020
WGAN과 WGAN-GP의 손실 함수가 이렇게 생겨먹은 이유 ...
WGAN과 WGAN-GP는 수학적으로 아름답게! GAN의 손실 함수를 해석했습니다. 지난 시간에 가볍게 살펴봤던 WGAN을 오늘은 조금 더 깊 ...
Jun 14, 2020 · Uploaded by 룩팍
Wasserstein Arlo Pro and Pro 2 Protective Silicone Skins
www.homedepot.com › ... › Home Safety Accessories
Gently peel open the skin from the back and insert the Arlo Pro into the skin. Adjust the skin to cover the camera perfectly. Wasserstein Silicone Skins for ...
The Home Depot ·
Jun 15, 2020
Visual Transfer for Reinforcement Learning via Wasserstei
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion · Want to watch this again ...
Jun 25, 2020 · Uploaded by Josh Roy
Bernd Sturmfels, Wasserstein Distance to Independence Models, AlCoVE 2020
38 views
•Jun 26, 2020
2020 Jul
Gradient descent algorithms for Bures-Wasserstein barycenters
slideslive.com › gradient-descent-algorithms-for-bureswas...
Gradient descent algorithms for Bures-Wasserstein barycenters · Speakers · Organizer · Categories · About COLT · Store presentation · Should this ...
SlidesLive ·
Principled learning method for Wasserstein distributionally ...
slideslive.com › principled-learning-method-for-wasserste...
Wasserstein distributionally robust optimization (WDRO) attempts to ... of the empirical data distribution defined by Wasserstein ball.
SlidesLive ·
Jul 12, 2020
Jul 9, 2020
Stochastic Optimization for Regularized Wasserstein Estimators
slideslive.com › stochastic-optimization-for-regularized-w...
slideslive.com › stochastic-optimization-for-regularized-w...
Its optimal objective value, the Wasserstein... ... areas such as machine vision, computational biology, speech recognition, and robotics.
SlidesLive ·
Jul 12, 2020
Opinion piece co-authored by David Wasserstein and Phil ...
as.vanderbilt.edu › jewishstudies › news › opinion-piece-c...
as.vanderbilt.edu › jewishstudies › news › opinion-piece-c...
Vanderbilt University is committed to principles of equal opportunity and affirmative action. ... Accessibility information. Vanderbilt®, ...
Vanderbilt University · grimess ·
Jul 13, 2020
Stronger and Faster Wasserstein Adversarial Attacks
slideslive.com › stronger-and-faster-wasserstein-adversaria...
While the majority of existing attacks focuses on measuring perturbations under the ℓ_p metric, Wasserstein distance, which takes geometry ...
SlidesLive · Jul 12, 2020
Stronger and Faster Wasserstein Adversarial Attacks - ICML
Stronger and Faster Wasserstein Adversarial Attacks. Kaiwen Wu, Allen Wang, Yaoliang Yu,. Abstract.
Tue Jul 14 8 a.m. PDT [ Join Zoom ]. Tue
Jul 14 7 p.m. ...
Bridging the Gap Between f-GANs and Wasserstein GANs
slideslive.com › bridging-the-gap-between-fgans-and-was...
slideslive.com › bridging-the-gap-between-fgans-and-was...
premier gathering of professionals dedicated to the advancement of the branch of ...
SlidesLive ·
Jul 12, 2020
Luis Polanco (7/13/20): Data driven torsion coordinates and Wasserstein stability
... coordinates and Wasserstein stabilityAbstract: We introduce a framework to construct coordinates in \emph{finite} Lens spaces for ...
YouTube · Applied Algebraic Topology Network ·
Jul 14, 2020
abacus.ai › research
... of GANs including Wasserstein GANs and MMD GANs address some of these issues. ... Google Brain's scientists also explored attribution of predictions to ...
Abacus.AI - Effortlessly Embed Cutting Edge AI In Your ... ·
Jul 14, 2020
... of GANs including Wasserstein GANs and MMD GANs address some of these issues. ... Google Brain's scientists also explored attribution of predictions to ...
Abacus.AI - Effortlessly Embed Cutting Edge AI In Your ... ·
Jul 14, 2020
Wasserstein Embedding for Graph Learning - Papers With Code
paperswithcode.com › paper › review
paperswithcode.com › paper › review
We present Wasserstein Embedding for Graph Learning (WEGL), a novel and fast framework for embedding entire graphs in a vector space, in which various ...
Papers With Code · Ross Taylor ·
Jul 16, 2020
Barycenters of Natural Images Constrained Wasserstein ...
To obtain a smooth and straightforward transition, one may adopt the well-known Wasserstein Barycenter Problem (WBP).
YouTube · ComputerVisionFoundation Videos ·
Jul 17, 2020
Tweets with replies by Lénaïc Chizat (@LenaicChizat) / Twitter
mobile.twitter.com › lenaicchizat › with_replies
On the rate of convergence in Wasserstein distance of the empirical measure ... Support Localization and the Fisher Metric for off-the-grid Sparse.
Twitter ·
Jul 17, 2020
Gromov-Wasserstein Optimal Transport to Align Single-cell ...
crossminds.ai › video › gromov-wasserstein-optimal-trans...
crossminds.ai › video › gromov-wasserstein-optimal-trans...
Gromov-Wasserstein Optimal Transport to Align Single-cell ... ICAPS 2014: Satish Kumar on "A Tree-Based Algorithm for Construction Robots".
CrossMind.ai · IMC
Jul 17, 2020
Severity-Aware Semantic Segmentation With Reinforced
Wasserstein Training
To sidestep this, in this work, we propose to incorporate the severity-aware inter-class correlation into our Wasserstein training framework ...
YouTube · ComputerVisionFoundation Videos ·
Jul 18, 2020
Austin Stromme - Gradient Descent Algorithms for Bures Barycenters | MLxMIT Tea
Title: Gradient descent algorithms for Bures-Wasserstein barycenters Collaborators: Sinho Chewi, Tyler Maunu, Philippe Rigollet Abstract: We ...
YouTube · Machine Learning at MIT ·
Jul 21, 2020
Wasserstein Robust RL - YouTube
www.youtube.com › watch
Wasserstein Robust RL. 549 views 2 years ago ... Safe Reinforcement Learning| Robotics| Machine Learning. Machine Learning and AI Academy.
YouTube · Machine Learning and AI Academy ·
Jul 22, 2020
2020 August->
Darina Dvinskikh - "Decentralized Algorithms for Wasserstein ...
Gradient descent algorithms for Bures-Wasserstein barycenters
Gradient descent algorithms for Bures-Wasserstein barycenters by Austin Stromme, Philippe Rigollet, Sinho Chewi, Tyler MaunuWatch also on ...
YouTube · COLT ·
Aug 4, 2020
Principled Training of Generative Adversarial Networks with
Wasserstein metric and Gradient Penalty
Principled Training of Generative Adversarial Networks with Wasserstein metric and Gradient Penalty. Watch later. Share. Copy link.
YouTube · Quantil Matemáticas Aplicadas ·
Aug 5, 2020
AK on Twitter: "Wasserstein Generative Adversarial Networks
. https://arxiv.org/pdf/2008.03992.pdf … abs: https://arxiv.org/abs/2008.03992 project page: https ...
Aug 10, 2020
wasserstein gan（wgan）是什么？ -技术百科的定义- 音讯- 2021
Wasserstein GAN（WGAN）是库恩特数学科学研究所的Martin Arjovsky，Soumith Chintala和 ...
Aug 19, 2020
Yan Wang, 'Wasserstein subsampling: Theory and empirical ...
tads.research.iastate.edu › yan-wang-wasserstein-subsampl...
tads.research.iastate.edu › yan-wang-wasserstein-subsampl...The Wasserstein distance is proposed as a metric for subsampling such $m$ points. Risk bounds are established in terms of the Wasserstein ...
HDR TRIPODS: D4 (Dependable Data-Driven Discovery ... · Computer Science ·
Aug 20, 2020
Transition for alternating mode collapse of Wasserstein GAN
www.youtube.com › wat
The orange and blue represents the underlying distribution and the generated distribution respectively. The right hand side graph, ...
YouTube · zaytamas ·
Aug 25, 2020
Smooth Wasserstein Distance: Metric Structure and Statistical ...
slideslive.com › smooth-wasserstein-distance-metric-struct...
Smooth Wasserstein Distance: Metric Structure and Statistical Efficiency. Aug 26, 2020. Speakers. ZG · Ziv Goldfeld. Speaker · 0 followers.
SlidesLive ·
Aug 26, 2020
Youssef Mroueh · Wasserstein Style Transfer - SlidesLive
slideslive.com › wasserstein-style-transfer
slideslive.com › wasserstein-style-transfer
... of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas.
SlidesLive ·
Aug 26, 2020
Gabriel Peyré on Twitter: "Comparison of the Wasserstein ...
twitter.com › gabrielpeyre › status
Comparison of the Wasserstein, Hellinger, Kullback-Leibler and ... It's more clear for the other metrics but for the Wasserstein seems like ...
Twitter ·
Aug 29, 2020
2020 Sep=>
Section 4.4 part 1 - "Wasserstein distance" - YouTube
Metrics on probability measures ... In part 1 we discuss the definition and basic properties of the Wasserstein distance between probability ...
YouTube · Probability Theory ·
Sep 14, 2020
Gabriel Peyré on Twitter: "Comparison of the Wasserstein
Embed Tweet. Comparison of the Wasserstein, Hellinger, Kullback-Leibler and reverse KL on the space of ...
Aug 28, 2020
Google AI on Twitter: "Introducing an #ImitationLearning ...
Introducing an #ImitationLearning approach for the low-data regime that calculates the Wasserstein distance ...
Sept 15, 2020
alexis jacq (@Alexis_D_Jacq) / Twitter
mobile.twitter.com › alexis_d_jacq
mobile.twitter.com › alexis_d_jacq
Research Scientist at Google Brain ... colab.research.google.com ... that calculates the Wasserstein distance (aka the earth mover's distance) between ...
Twitter ·
Sep 15, 2020
тохастические уравнения со взаимодействием. Лекция 4. Расстояние Вассерштейна
https://www.youtube.com › watch
Стохастические уравнения со взаимодействием. Лекция 4. Расстояние Вассерштейна. 110 views110 views.
Sep 27, 2020. 4. 0. Share. Save. 4 / 0.
youtube video
[Russian Stachastical equations with interactions. Lection 4. Wasserstein distance]
Sep 27, 2020.
Problem with BCE Loss - Week 3: Wasserstein GANs with ...
mplement a WGAN to ... ... Week 3: Wasserstein GANs with Gradient Penalty ... 2022 Coursera Inc. All rights reserved. Coursera Facebook.
Coursera · DeepLearning.AI ·
Sep 29, 2020
Condition on Wasserstein Critic - Week 3 - Coursera
www.coursera.org › lecture › condition-on-wasserstein-cri...
www.coursera.org › lecture › condition-on-wasserstein-cri...3:13
Week 3: Wasserstein GANs with Gradient Penalty. Learn advanced techniques to reduce instances of GAN failure due to imbalances between the ...
Coursera · DeepLearning.AI ·
Sep 29, 2020
Earth Mover's Distance - Week 3: Wasserstein GANs with ...
Implement a WGAN to ... ... Week 3: Wasserstein GANs with Gradient Penalty ... 2022 Coursera Inc. All rights reserved. Coursera Facebook.
Coursera · DeepLearning.AI ·
Sep 29, 2020
Week 3: Wasserstein GANs with Gradient Penalty | Coursera
Video created by DeepLearning.AI for the course "Build Basic Generative Adversarial Networks (GANs)". Learn advanced techniques to reduce ...
Coursera · DeepLearning.AI ·
Sep 29, 2020
Week 3: Wasserstein GANs with Gradient Penalty - Coursera
www.coursera.org › lecture › welcome-to-week-3-veMjm... multiple GAN architectures - Build conditional GANs capable of generating examples from determined categories The DeepLearning.
Coursera · DeepLearning.AI ·
Sep 29, 2020
Gromov-Wasserstein Learning in a Riemannian Framework
video.ucdavis.edu › media › Samir+ChowdhuryA+Gromo...
Video thumbnail for Samir Chowdhury: Gromov-Wasserstein Learning in a Riemannian Framework. 0:00. Off Air. / 1:00:50. Auto. Options; Off; English.
AggieVideo ·
Sep 29, 2020
Review of Convolutions - Week 2: Deep Convolutional GANs
www.coursera.org › lecture › build-basic-generative-adve...
www.coursera.org › lecture › build-basic-generative-adve...Controllable Generation, WGANs, Conditional Generation, Components of GANs, DCGANs ... 2022 Coursera Inc. All rights reserved.
Coursera · DeepLearning.AI ·
Sep 29, 2020
Mode Collapse - Wasserstein GANs with Gradient Penalty
www.coursera.org › lecture › mode-collapse-Terkm
www.coursera.org › lecture › mode-collapse-Terkm
Video created by DeepLearning.AI for the course "Build Basic Generative Adversarial Networks (GANs)". Learn advanced techniques to reduce ...
Coursera · DeepLearning.AI ·
Sep 29, 2020
Welcome to Week 1 - Week 1: Intro to GANs - Coursera
www.coursera.org › lecture › welcome-to-week-1-mgIKX
www.coursera.org › lecture › welcome-to-week-1-mgIKXControllable Generation, WGANs, Conditional Generation, Components of GANs, DCGANs ... 2022 Coursera Inc. All rights reserved.
Coursera · DeepLearning.AI ·
Sep 29, 2020
Week 4: Conditional GAN & Controllable Generation | Coursera
www.coursera.org › lecture › build-basic-generative-adve...
www.coursera.org › lecture › build-basic-generative-adve...Controllable Generation, WGANs, Conditional Generation, Components of GANs, DCGANs ... 2022 Coursera Inc. All rights reserved.
Coursera · DeepLearning.AI ·
Sep 29, 2020
BCE Cost Function - Week 1: Intro to GANs - Coursera
www.coursera.org › lecture › build-basic-generative-adve...
www.coursera.org › lecture › build-basic-generative-adve...Controllable Generation, WGANs, Conditional Generation, Components of GANs, DCGANs ... 2022 Coursera Inc. All rights reserved.
Coursera · DeepLearning.AI ·
Sep 29, 2020
www.coursera.org › lecture › wasserstein-loss-vy3To
www.coursera.org › lecture › wasserstein-loss-vy3To
Week 3: Wasserstein GANs with Gradient Penalty. Learn advanced techniques to reduce instances of GAN failure due to imbalances between the ...
Coursera · DeepLearning.AI ·
Sep 29, 2020
www.coursera.org › lecture › mode-collapse-Terkm
www.coursera.org › lecture › mode-collapse-Terkm
Week 3: Wasserstein GANs with Gradient Penalty. Learn advanced techniques to reduce instances of GAN failure due to imbalances between the ...
Coursera · DeepLearning.AI ·
Sep 29, 2020
2020 Oct=>
Wasserstein Loss - Week 3: Wasserstein GANs with Gradient ...
www.coursera.org › lecture › wasserstein-loss-vy3To
AI for the course "Build Basic Generative Adversarial Networks (GANs)". Learn advanced techniques to reduce ...
Oct 1, 2020
1-Lipschitz Continuity Enforcement - Week 3: Wasserstein ...
Week 3: Wasserstein GANs with Gradient Penalty ... Using the L2 norm is very common here, which just ...
Oct 1, 2020
Condition on Wasserstein Critic - Week 3: Wasserstein GANs .
Video created by DeepLearning.AI for the course "Build Basic Generative Adversarial Networks (GANs ...
Oct 2, 2020 · Uploaded by Eric Zelikman
Wasserstein Loss - Week 3: Wasserstein GANs wit
Video created by DeepLearning.AI for the course "Build Basic Generative Adversarial Networks (GANs ...
Oct 2, 2020 · Uploaded by Eric Zelikman
Hanjun Dai (@hanjundai) / Twitter
mobile.twitter.com › hanjundai
mobile.twitter.com › hanjundai
Discrete Langevin Sampler via Wasserstein Gradient Flow. Recently, a family of locally balanced (LB) ... Our team at Google Brain (w/ Dale Schuurmans,.
Twitter ·
Oct 2, 2020
1-Lipschitz Continuity Enforcement - Week 3 - Coursera
www.coursera.org › lecture › 1-lipschitz-continuity-enfor...
www.coursera.org › lecture › 1-lipschitz-continuity-enfor...
AI for the course "Build Basic Generative Adversarial Networks (GANs)". ... Week 3: Wasserstein GANs with Gradient Penalty.
Coursera · DeepLearning.AI ·
Oct 6, 2020
Archived News | UvA-Bosch DELTA Lab - Informatics Institute
ivi.fnwi.uva.nl › uvaboschdeltalab › archived-news
He spent five years at Google Brain, where he focused on neural network ... Our proposed approach, pairing a Wasserstein GAN with a classification loss, ...
Informatics Institute · SPUI 25 ·
Oct 6, 2020
An Invitation to Statistics in Wasserstein Space - YES24
An Invitation to Statistics in Wasserstein Space - YES24
www.yes24.com › Product › Goods
This open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures ...
YES24 · 예스티비 ·
Oct 9, 2020
Lecture 11.4: Wasserstein Generative Adversarial Networks
What Are GANs? | Generative Adversarial Networks Explained | Deep Learning With Python | Edureka. edureka! edureka!
YouTube · UniHeidelberg ·
Oct 15, 2020
Week 3: Wasserstein GANs with Gradient Penalty | Coursera
www.coursera.org › lecture › wasserstein-loss-vy3To
www.coursera.org › lecture › wasserstein-loss-vy3To
What Are GANs? | Generative Adversarial Networks Explained | Deep Learning With Python | Edureka. edureka! edureka!
YouTube · UniHeidelberg ·
Oct 15, 2020 see Sep
Optimal transport: constant geodesic in Wasserstein space_哔 ...
这是我讨论班上和大家分享的内容。关于Wp空间上的测地线。参考书目optimal transport for applied ...
Oct 16, 2020
Distributed Optimization with Quantization for Computing Wasserstein Barycenters
Simulation results for the paper "Distributed Optimization with Quantization for Computing Wasserstein Barycenters".
YouTube · Césa
r A. Uribe ·
Oct 22, 2020
A Wasserstein Norm for Signed Measures
. Friday October 23rd at 3pm on Zoom ... I will make this talk pedagogical, explain using examples what is the ...
Oct 23, 2020
Wasserstein Distances for Stereo Disparity Estimation_
作者使用一种新的能够输出任意深度值的神经网络结构和一种新的损失函数来解决这些问题，这种损失函数是从真实 ...
Oct 23, 2020
Introduction to the Wasserstein distance - YouTube
Oct 25, 2020
Д. Н. Тяпкин, Ускорение сведением к седловым задачам с ...
приложением к поиску барицентров Вассерштейна
www.mathnet.ru › php › seminars
www.mathnet.ru › php › seminars
... получилась лучшая известная асимптотика для задачи поиска барицентров Вассерштейна, которая, скорее всего, является неулучшаемой.
Math-Net.Ru · Optimization and Statistics ·
Oct 28, 2020
Section 4.5 part 2 - "Wasserstein distance and entropy ...
Section 4.5 part 2 - "Wasserstein distance and entropy". 2 views2 views. • Sep 14, 2020. 0 0. Share Save. 0 / 0 ...
Oct 29, 2020 by Dmitry Panchenko
Д. Н. Тяпкин: Ускорение сведением к седловым задачам с приложением к поиску барицентров Вассерштейна125 views
Oct 29, 2020
[NeurIPS 2020]GS-WGAN: A Gradient-Sanitized Approach for ...
NeurIPS 2020] GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators ...
Oct 31, 2020 · Uploaded by Dingfan Chen
2020 Nov->
Wasserstein Distances for Stereo Disparity Estimation
www.youtube.com › watch
Key moments. View all · Motivation of the Work · Motivation of the Work · Depth Estimation from Images · Depth Estimation from Images · Robotic ...
YouTube · Computer Vision Talks ·
Nov 1, 2020
Wasserstein Generative Adversarial Networks (WGAN
Wasserstein Generative Adversarial Networks (WGAN & WGAN-GP) in ... TensorFlow Tutorial 5 - Adding ...
Nov 3, 2020 · Uploaded by Aladdin P
In this video we implement WGAN and WGAN-GP in PyTorch
this video we implement WGAN and WGAN-GP in PyTorch. Both of these improvements are based on the ...
Nov 3, 2020 · Uploaded by Aladdin Persson
WGAN implementation from scratch (with gradient penalty ...Building our first simple GAN. Aladdin ... Pytorch Conditional GAN Tutorial. Aladdin ... [GAN by Hung-yi Lee ...
Nov 3, 2020 · Uploaded by Aladdin Persson
WGAN implementation from scratch (with gradient penalty)15,729 views
Nov 3, 2020
Stochastics and Statistics Seminar - Jose Blanchet - YouTube
www.youtube.com › watchStatistical Aspects of Wasserstein Distributionally Robust ... Machine Learning and Robust Optimization, Fengqi You, Cornell University.
YouTube · MIT Institute for Data, Systems, and Society ·
Nov 4, 2020
Minimax estimation of smooth densities in Wasserstein distance
Add to your list(s) Download to your calendar using vCal
Jonathan Niles-Weed (Courant Institute)
Friday 06 November 2020 zoom
Nov 6, 2020
The Wasserstein Proximal Gradient Algorithm [NeurIPS 2020]
crossminds.ai › video › the-wasserstein-proximal-gradient...
crossminds.ai › video › the-wasserstein-proximal-gradient..
Abstract: Wasserstein gradient flows are continuous time dynamics that define curves of steepest descent to minimize an objective function ...
CrossMind.ai ·
Nov 8, 2020
"Primal Wasserstein Imitation Learning", Dadashi et al 2020 …
17.7k members in the reinforcementlearning community. Reinforcement learning is a subfield of AI/statistics ...
Nov 13, 2020 · Uploaded by Wesley Liao
Asymptotics of Smoothed Wasserstein Distances | Research ...
research.shanghai.nyu.edu › math › events › asymptoti...
— Hongbin Chen, NYU. Location: Via Zoom (Members of NYU Shanghai Community can join from Room 611 at Pudong campus). - RSVP Here -.
Nov 30, 2020
David Berthelot (dberth@sigmoid.social) - Twitter
twitter.com › d_berthelot_ml0:06
Machine Learner, ex-Google Brain, now in Apple. ... Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs New work by ...
Twitter ·
Nov 30, 2020
2020 Dec>
Wasserstein Natural Gradients for Reinforcement ... - talks.cam
talks.cam.ac.uk › talk › index
Dec 1, 2020 — Zoom. If you have a question about this talk, please contact Mateja Jamnik. Join us on Zoom. Policy Gradient methods can learn complex ...
A Non-Commutative Analog of the 2-Wasserstein Metric for ...
video.ias.edu/analysis/carlen
The Fermionic Fokker-Planck equation is a quantum-mechanical analog of the classical Fokker-Planck equation with which it has much in common, such as the same optimal hypercontractivity properties.
Dec 2, 2020
Tweets with replies by Evgeny (@burnaevevgeny) / Twitter
mobile.twitter.com › burnaevevgeny › with_replies
mobile.twitter.com › burnaevevgeny › with_replies
per "Large-Scale Wasserstein Gradient Flows" we show how to solve the ... Or need a NAS benchmark based on recurrent architectures for NLP tasks?
Twitter ·
Dec 4, 2020
Samir Chowdhury: Gromov-Wasserstein Learning in a ...
But also solving a principal component analysis and graphs is also of interest. And ideally we can do all of this ...
Dec 8, 2020
Gromov-Wasserstein Learning in a Riemannian Framework
video.ucdavis.edu › media › Samir+ChowdhuryA+Gromo...
Video thumbnail for Samir Chowdhury: Gromov-Wasserstein Learning in a Riemannian Framework. 0:00. Off Air. / 1:00:50.
AggieVideo ·
Dec 8, 2020
Lecture 11.4: Wasserstein Generative Adversarial Networks
What Are GANs? | Generative Adversarial Networks Explained | Deep Learning With Python | Edureka. edureka! edureka!
YouTube · UniHeidelberg ·
Oct 15, 2020
Introduction to the Wasserstein distance17,335 views
Oct 25, 2020
Introduction to the Wasserstein distance - YouTube
Title: Introduction to the Wasserstein distance Abstract: I give an introduction to the Wasserstein distance, which is also called the ...
YouTube · Applied Algebraic Topology Network ·
Oct 26, 2020
VinAI Research Seminar Series - Quantile Matrix Factorization
in Paris, in October 2018. ... transport and Wasserstein distances in the machine learning community.
YouTube · VinAI Research ·
Oct 26, 2020
Interpolating Between f-Divergences and Wasserstein Metrics
I will present a general framework for constructing new information-theoreticdivergences that interpolate between and combine crucial ...
YouTube · Columbia University, Probability ·
Nov 22, 2020
2020 Dec=>
Permutation Invariant Networks to Learn Wasserstein Metrics
Understanding the space of probability measures on a metric space equipped with a Wasserstein distance is one of the fundamental questions ...
CrossMind.ai ·
Dec 6, 2020
slideslive.com › projection-robust-wasserstein-distance-an..
Projection Robust Wasserstein Distance and Riemannian Optimization ... Spatio-Temporal Persistent Homology for Dynamic Metric Spaces.
SlidesLive ·
Dec 6, 2020
projection robust wasserstein distance and riemannian ...
crossminds.ai › video › projection-robust-wasserstein-dist...
Fair regression with Wasserstein barycenters - CrossMind.ai
crossminds.ai › video › fair-regression-with-wasserstein-b...
Fair regression with Wasserstein barycenters. Dec 06, 2020. |. arXiv link. 0. Evgenii Chzhen. Follow. Machine Learning Fairness.
CrossMind.ai ·
Dec 6, 2020
Fair regression with Wasserstein barycenters - SlidesLive
slideslive.com › fair-regression-with-wasserstein-barycenters
ulti-track machine learning and computational neuroscience conference that includes ...
SlidesLive ·
Dec 6, 2020
Karthik Mukkavilli · Workshop Closing Remarks - SlidesLive
slideslive.com › workshop-closing-remarks
Permutation Invariant Networks to Learn Wasserstein Metrics. 04:32. Permutation Invariant Networks to Learn Wassers…tein Metrics.
SlidesLive ·
Dec 6, 2020
Fixed-Support Wasserstein Barycenters: Computational ...
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm · Speakers · Organizer · About NeurIPS 2020 · Store presentation ...
SlidesLive ·
Dec 6, 2020
Fast Epigraphical Projection-based Incremental Algorithms for ...
slideslive.com › fast-epigraphical-projectionbased-increm...
slideslive.com › fast-epigraphical-projectionbased-increm...
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. Dec 6, 2020 ...
SlidesLive ·
Dec 6, 2020
Quantifying the Empirical Wasserstein Distance to a Set of ...
slideslive.com › quantifying-the-empirical-wasserstein-dist...
slideslive.com › quantifying-the-empirical-wasserstein-dist...
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality. Dec 6, 2020 ...
SlidesLive ·
Dec 6, 2020
Wasserstein Stability for Persistence Diagrams · SlidesLive
slideslive.com › wasserstein-stability-for-persistence-diagr...
slideslive.com › wasserstein-stability-for-persistence-diagr...
... Topological Data Analysis and Beyond; Wasserstein Stability for Persistence Diagrams ... Wasserstein Stability for Persistence Diagrams.
SlidesLive · D
Dec 6, 2020
Wasserstein K-Means for Clustering Tomographic Projections
slideslive.com › wasserstein-kmeans-for-clustering-tomog...
Wasserstein K-Means for Clustering Tomographic Projections. Dec 6, 2020 ... Machine Learning for Safety-Critical Robotics Applications.
SlidesLive ·
Dec 6, 2020
Carolina Parada · Robotics at Google - SlidesLive
slideslive.com › robotics-at-google
slideslive.com › robotics-at-google
Robotics at Google. Dec 6, 2020. Speakers ...
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence. 03:21 ...
SlidesLive ·
Dec 6, 2020
Dexterous Robotic Grasping with Object-Centric Visual ...
slideslive.com › dexterous-robotic-grasping-with-objectce...
slideslive.com › dexterous-robotic-grasping-with-objectce...
Dexterous Robotic Grasping with Object-Centric Visual Affordances. Dec 6, 2020 ...
Wasserstein Distances for Stereo Disparity Estimation.
SlidesLive ·
Dec 6, 2020
SVGD as a Kernelized Wasserstein Gradient Flow of the Chi ...
slideslive.com › svgd-as-a-kernelized...
slideslive.com › svgd-as-a-kernelized...
... Googlebot/2.1; +http://www.google.com/bot.html). SVGD as a Kernelized Wasserstein Gradient Flow of the Chi-Squared Divergence. Dec 6, 2020. Speakers.
SlidesLive ·
Dec 6, 2020
The Wasserstein Proximal Gradient Algorithm · SlidesLive
slideslive.com › the-wasserstein-proximal-gradient-algorit...
slideslive.com › the-wasserstein-proximal-gradient-algorit...multi-track machine learning and computational neuroscience conference that includes ...
SlidesLive ·
Dec 6, 2020
Wasserstein Information Geometry in Generative and Discriminative Learning.
Dec 06, 2020. 0. Guido Montúfar. Follow. Recommended. Details. Comments.
CrossMind.ai ·
Dec 6, 2020
Wasserstein Learning of Deeterminantal Point Processes
slideslive.com › wasserstein-learning-of-deeterminantal-p...
slideslive.com › wasserstein-learning-of-deeterminantal-p...Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes ...
SlidesLive ·
Dec 6, 2020
NeurIPS 2020 : Projection Robust Wasserstein Distance and ...
neurips.cc › virtual › protected
Only iff poster is crowded, join Zoom . Authors have to start the Zoom call from their Profile page / Presentation History. Toggle Abstract Paper (in Proceedings / . pdf).
Dec 10, 2020
Wgan keras. How to Develop a Wasserstein Generative .
Algorithm for the Wasserstein Generative Adversarial Networks. Taken from: Wasserstein GAN. The DCGAN ...
Dec 12, 2020 · Uploaded by AI Journal
SGD Learns One-Layer Networks in WGANs
334 views Streamed live on Dec 16, 2020 Qi Lei (Princeton University)…
Simons Institute
Dec 12, 2020
Gromov-Wasserstein based optimal transport to align... - MLCSB
www.youtube.com › watch
Gromov-Wasserstein based optimal transport to align single-cell multi-omics data ... Optimal transport for machine learning - Gabriel Peyre, ...
YouTube · ISCB ·
Dec 23, 2020
Wasserstein Distributionally Robust Learning
books.google.com › books
OROOSH Shafieezadeh Abadeh · 2020 · No preview
Mots-clés de l'auteur: Distributionally robust optimization ; Wasserstein distance ; Regularization ; Supervised Learning ; Inverse optimization ; Kalman filter ; Frank-Wolfe algorithm.
2020
149 titles before 2020
+ 134 videos in 2020
= 283
end 2020
start 2021 104 videos
2021 Jan=>
Gromov-Wasserstein based optimal transport to align... - Pinar Demetci - MLCSB - ISMB 2020 Posters68 views
Gromov-Wasserstein based optimal transport to align... - MLCSB
Gromov-Wasserstein based optimal transport to align single-cell multi-omics data ... Estimating the Wasserstein Metric - Jonathan Niles-Weed.
YouTube · ISCB ·
Jan 13, 2021
De Novo Protein Design for Novel Folds with Guided Wasserstein GAN
www.youtube.com › watchonditional Wasserstein GAN - Yang Shen - 3DSIG - ISMB 2020.
YouTube · ISCB ·
Jan 13, 2021
Alex Elchesen (1/14/21): Universality of Persistence Diagrams ...
Alex Elchesen (1/14/21): Universality of Persistence Diagrams and Bottleneck & Wasserstein Distances. 345 views345 views. Jan 14, 2021.
YouTube · Applied Algebraic Topology Network ·
Jan 14, 2021
Julius Lohmann: On the Wasserstein distance with respect to ...
www.uni-muenster.de › show_article
Jan 20, 2021 — Wednesday, 03.02.2021 11:00 per ZOOM: Link to Zoom info. Mathematik und Informatik. In this talk I use the idea of branched transport to ...
Jan 20, 2021
A Sliced Wasserstein Loss for Neural Texture Synthesis
Our goal is to promote the Sliced Wasserstein Distance as a ... texture synthesis by optimization or training generative neural networks.
GitHub.io · Kenneth V ·
Jan 25, 2021
Wasserstein Distance to Independence Models - YouTube
Wasserstein Distance to Independence Models. 98 views 1 year ago ... Numerical Calabi-Yau Metrics & Machine Learning.
YouTube · Sanya AG&ML Workshop 2021 ·
Jan 28, 2021
2021 Feb=>
1223 - Accelerated WGAN update strategy with loss change rate balancing29 views
223 - Accelerated WGAN update strategy with loss change rate balancing. Watch later. Share. Copy link. Info. Shopping. Tap to unmute.
Feb 3, 2021
Statistics Seminar Speaker: Marta Catalano 02/04/2021 ...
stat.cornell.edu › events › statistics-seminar-speaker-ma...
Feb 4, 2021 — Talk: Measuring dependence in the Wasserstein distance for Bayesian nonparametric models. A link to this Zoom talk will be sent to the Stats ...
QIP2021 | The quantum Wasserstein distance of order 1 (Giacomo De Palma)
230 views•
Feb 4, 2021
QIP2021 | The quantum Wasserstein distance of order 1 ...
Your browser can't play this video. Learn more. Switch camera ... QIP2021 | The quantum Wasserstein ...
Feb 4, 2021 · Uploaded by Munich Ce
The quantum Wasserstein distance of order 1 (Giacomo De ...
www.youtube.com › watch
Our main result is a continuity bound for the von Neumann entropy with respect to the proposed distance, which significantly strengthens the ...
YouTube · Munich Center for Quantum Science & Technology ·
Feb 4, 2021
Krishnaswamy Lab (@KrishnaswamyLab) / Twitter
twitter.com › krishnaswamylab
(2/n) The Optimal Transport (OT) problem gives rise to the Wasserstein distance. ... 2022, we're introducing a novel scalar curvature for high dimensional ...
Twitter ·
Feb 8, 2021
The quantum Wasserstein distance of order 1 » NSF ...
Abstract. Giacomo De Palma - Massachusetts Institute of Technology, Research Laboratory of Electronics ...
Feb 10, 2021
Scaling Wasserstein distances to high dimensions via ...
web.stanford.edu › it-forum › talks › talks › ziv-goldfeld
— To avoid "Zoom-bombing", we ask attendees to input their email address here ... This talk will present a novel framework of smooth Wasserstein ...
Feb 12, 2021
Tariq Syed | The generalized Vaserstein symbol - YouTube
Seminar on A1-topology, motives and K-theory, February 18, 2021Tariq Syed (University of Duisburg-Essen ...
Feb 18, 2021 · Uploaded by EIMI, PDMI RAS and Chebyshev Laboratory
Giacomo De Palma: "The quantum Wasserstein distance of …
Entropy Inequalities, Quantum Information and Quantum Physics 2021"The quantum Wasserstein distance of ...
Feb 19, 2021 · Uploaded by Institute for Pure & Applied Mathematics (IPAM)
2021 youtube
Scaling Wasserstein Distances to High Dimensions via Smoothing
854 views
Scaling Wasserstein Distances to High Dimensions ... - YouTube
This talk will present a novel framework of smooth Wasserstein distances, that inherits the properties of their classic counterparts while ...
YouTube · Stanford Research Talks ·
Feb 21, 2021
Wasserstein-2 Generative Networks [in Russian] - YouTube
Bayesian Methods in Machine Learning, Fall 2020. Wasserstein-2 Generative Networks [in Russian]. 305 views 1 year ago. BayesGroup.ru.
YouTube · BayesGroup.ru ·
Feb 21, 2021
Kas yra Wasserstein gan (wgan)? - apibrėžimas iš ...
Apibrėžimas - ką reiškia Wasserstein GAN (WGAN)?. Wassersteino GAN (WGAN) yra algoritmas ...
Feb 25, 2021
Imperial REDS Lab (@ImperialREDSLab) / Twitter
mobile.twitter.com › imperialredslab
Robotic manipulation: Engineering, Design, and Science Laboratory (REDS Lab) at ... a Highly Data-Efficient Controller Based on the Wasserstein Distance'.
Twitter ·
Feb 28, 2021
2021 Mar=>
oatml.cs.ox.ac.uk › talksPREVIE
Been is a stff research scientist at Google Brain. ... upper bounded by the Wasserstein distance, which then allows us to tap into existing efficient ...
OATML · OATML research group ·
Mar 1, 2021
On the geometry of Stein variational gradient descent and ...
Optimal Transport and PDE: Gradient Flows in the Wasserstein Metric ... Reliable Deep Anomaly Detection - Jie Ren, Google AI Brain Team.
YouTube · UCL Centre for Artificial Intelligence ·
Mar 18, 2021
2021 Apr=>
Stochastics and Statistics Seminar - Thibaut Le Gouic - YouTube
Barycenters in Wasserstein space
Women in Data Science (WiDS) Cambridge 2022: Data Science and Climate Change. MIT Institute for Data, Systems, and Society.
YouTube · MIT Institute for Data, Systems, and Society ·
Improved Complexity Bounds in Wasserstein Barycenter ...
mproved Complexity Bounds in Wasserstein Barycenter Problem. Apr 14, 2021. 0. Darina Dvinskikh. Follow. Recommended. Details. Comments.
CrossMind.ai ·
Apr 14, 2021
Generalized Spectral Clustering via Gromov-Wasserstein ...
slideslive.com › generalized-spectral-clustering-via-gromo...
slideslive.com › generalized-spectral-clustering-via-gromo...serstein Learning (GWL), a recent optimal transport-based approach to graph ...
SlidesLive ·
Apr 14, 2021
Frank Nielsen on Twitter: "Why is there so many "distances" in ...
twitter.com › frnknlsn › status
I'm looking for a metric to quantify the distance between two probability ... But why is Wasserstein / EMD alone at the bottom?
Twitter ·
Apr 17, 2021
OWOS: Bernd Sturmfels - "Wasserstein Distance to ... - YouTube
The fifteenth talk in the third season of the One World Optimization Seminar given on April 26th, 2021, by Bernd Sturmfels (MPI Leipzig & UC ...
YouTube · One World Optimization Seminar ·
Apr 26, 2021
Algebraic Wasserstein distance between persistence modules
Katharine Turner, Australian National University
iSMi
Monday,
April 26, 2021
2021 May=>
Wasserstein-2 Generative Networks - SlidesLive
We propose a novel end-to-end non-minimax algorithm for training optimal transport mappings for the quadratic cost (Wasserstein-2 distance).
SlidesLive ·
May 3, 2021
Continuous Wasserstein-2 Barycenter Estimation without ...
slideslive.com › continuous-wasserstein2-barycenter-estim...
Wasserstein barycenters provide a geometric notion of the weighted average of probability measures based on optimal transport.
SlidesLive ·
May 3, 2021
Primal Wasserstein Imitation Learning - SlidesLive
slideslive.com › primal-wasserstein-imitation-learning
slideslive.com › primal-wasserstein-imitation-learning
... important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.
SlidesLive ·
May 3, 2021
Wasserstein Embedding for Graph Learning (WEGL)
slideslive.com › wasserstein-embedding-for-graph-learnin...
slideslive.com › wasserstein-embedding-for-graph-learnin...
We present Wasserstein Embedding for Graph Learning (WEGL), ... speech recognition, text understanding, gaming, and robotics.
SlidesLive ·
May 3, 2021
Efficient Wasserstein Natural Gradients for Reinforcement ...
slideslive.com › efficient-wasserstein-natural-gradients-for...
slideslive.com › efficient-wasserstein-natural-gradients-for...
A novel optimization approach is proposed for application to policy gradient methods and evolution strategies for reinforcement learning ...
SlidesLive ·
May 3, 2021
Wasserstein GAN (Continued) | Lecture 68 (Part 1) - YouTube
www.youtube.com › watch
Wasserstein GANCourse Materials: https://github.com/maziarraissi/Applied-Deep-Learning.
YouTube · Maziar Raissi ·
May 7, 2021
Wasserstein GAN | Lecture 67 (Part 4) | Applied Deep Learning
www.youtube.com › watch
Wasserstein GANCourse Materials: https://github.com/maziarraissi/Applied-Deep-Learning.
YouTube · Maziar Raissi ·
May 7, 2021
Adam Oberman (@oberman_adam) / Twitter
Wasserstein barycenters are useful in stats/ML but typical algorithms discretize the domain, ... 's Misha Yurochkin we construct a continuous barycenter!
Twitter ·
May 8, 2021
Nicolas Courty (@nicolas_courty) / Twitter
twitter.com › nicolas_courty
Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet, ... will present 'Optimal transport for graph signal processing & learning' & 2 recent ...
Twitter ·
May 19, 2021
Wasserstein Learning of Generative Models - Yuxin (Iris) Ye
The Wasserstein Generative Adversarial Network, or Wasserstein GAN, ... from scratch and validate the tractable loss function of WGAN-GP.
Yuxin (Iris) Ye · Yuxin Ye ·
May 20, 2021
Entropic Optimal Transport - Prof. Marcel Nutz - YouTube
A workshop to commemorate the centenary of publication of Frank Knight's "Risk, Uncertainty, and Profit" and John Maynard Keynes' “A ...
YouTube · The Alan Turing Institute ·
May 21, 2021
Coding a Basic WGAN in PyTorch272 views
May 22, 2021
APDE Seminar -- Talks in 2020
www.maths.usyd.edu.au › Asia-Pacific-APDESeminar › T...
www.maths.usyd.edu.au › Asia-Pacific-APDESeminar › T...
Chao Xia, Recent progress on a sharp lower bound for Steklov ... leading to the notion of their Wasserstein distance, is a problem in the ...
School of Mathematics and Statistics, University of Sydney · Asia-Pacific Analysis and PDE Seminar ·
Mar 22, 2021
2021 Jun=>
A Sliced Wasserstein Loss for Neural Texture Synthesis ...
Sliced Wasserstein Loss for Neural Texture Synthesis - CVPR 2021. Watch later. Share. Copy link. Info ...
Jun 4, 2021 · Uploaded by Machine Learning
Linear Wasserstein GAN (or disco ball) - YouTube
Linear Wasserstein GAN (or disco ball) ... Comedy • 2011 • English audio.
YouTube · Alper Ahmetoglu ·
Jun 8, 2021
The quantum Wasserstein distance of order 1 - TQC 2021 ..
he quantum Wasserstein distance of order 1 - Giacomo De Palma, Milad Marvian, Dario Trevisan and Seth ...
June 29, 2021 · Uploaded by TQC 20
2021 Jul=>
Abstract:Wasserstein metrics are of central importance in optimal transport and its applications. The seminar will sketch how such metrics ...
YouTube · CoE-MaSS ·
Jul 7, 2021
Rocco Duvenhage: Noncommutative Wasserstein metrics
Scalable Computations of Wasserstein Barycenter via Input ...
Wasserstein Barycenter is a principled approach to represent the weighted mean of a given set of probability distributions, utilizing the ...
CrossMind.ai ·
Jul 19, 2021
Projection Robust Wasserstein Barycenters · SlidesLive
slideslive.com › projection-robust-wasserstein-barycenters
Projection Robust Wasserstein Barycenters. Jul 19, 2021 ... Simultaneous Similarity-based Self-Distillation for Deep Metric Learning.
SlidesLive ·
Jul 19, 2021
First-Order Methods for Wasserstein Distributionally Robust ...
slideslive.com › firstorder-methods-for-wasserstein-distrib...
... speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world.
SlidesLive ·
Jul 19, 2021
Rethinking Rotated Object Detection with Gaussian Wasserstein
slideslive.com › rethinking-rotated-object-detection-with-...
slideslive.com › rethinking-rotated-object-detection-with-...
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss ... computational biology, speech recognition, and robotics.
SlidesLive ·
Jul 19, 2021
Differentially Private Sliced Wasserstein Distance · SlidesLive
slideslive.com › differentially-private-sliced-wasserstein-di...
slideslive.com › differentially-private-sliced-wasserstein-di...
... speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world.
SlidesLive ·
Jul 19, 2021
Smooth p-Wasserstein Distance: Structure, Empirical ...
slideslive.com › smooth-pwasserstein-distance-structure-e...
... speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world.
SlidesLive ·
Jul 19, 2021
Lecture 20 | Wasserstein Generative Adversarial Networks
m.youtube.com › watchLecture 20 | Wasserstein Generative Adversarial Networks. 280 views · 1 year ago ...more ... MIT 6.824: Distributed Systems•325K views.
YouTube · Foundation for Armenian Science and Technology (FAST) ·
Jul 22, 2021
2021 video and text
Flexibly Learning Latent Priors for Wasserstein Auto-Encoders
2021 Aug=>
Clément Canonne on Twitter: "Ninth #AcademicSpotlight ...
twitter.com › ccanonne_ › status
twitter.com › ccanonne_ › status
of the k-NN classifier on spaces of proba measures under p-Wasserstein distance. From studying geometric properties of Wasserstein spaces, ...
Twitter ·
Aug 21, 2021
Jalal Kazempour (@JalalKazempour) / Twitter
twitter.com › jalalkazempour
How to make Wasserstein distributionally robust optimal power flow aware of ... grids” has won the 2022 Best IEEE-Transaction on Power System award, ...
Twitter ·
Aug 24, 2021
Enhanced Wasserstein Distributionally Robust OPF With Dependence Structure and Support Information
Wasserstein distributionally robust optimal power flow problem, by adding dependence structure (correlation) and support information.
YouTube · PSMR UMONS ·
Aug 30, 2021
2021 Sep=>
Crash Course on Optimal Transport - Simons Institute
simons.berkeley.edu › talks › crash-course-optimal-transp...
simons.berkeley.edu › talks › crash-course-optimal-transp..
... the Wasserstein metric, the Benamou-Brenier theorem, and Wasserstein gradient flows. ... 2013–2023 Simons Institute for the Theory of Computing.
Simons Institute · Simons Institute ·
Sep 1, 2021
Optimal Transport and PDE: Gradient Flows in the Wasserstein Metric2,049 viewsStreamed live on
41.2K subscribers
Sep 2, 2021
Gradient Flows in the Wasserstein Metric - YouTube
Katy Craig (UC Santa Barbara)https://simons.berkeley.edu/talks/tbd-335Geometric Methods in Optimization and Sampling Boot Camp.
YouTube · Simons Institute ·
Sep 3, 2021
Optimal Transport and PDE: Gradient Flows in the ... - YouTube
www.youtube.com › watch
Optimal Transport and PDE: Gradient Flows in the Wasserstein Metric (continued). Watch later. Share. Copy link.
YouTube · Simons Institute ·
Sep 3, 2021
Optimal Transport and PDE: Gradient Flows in the ... - YouTube
Optimal Transport and PDE: Gradient Flows in the Wasserstein Metric (continued). 1,182 views1.1K views. Streamed live on Sep 2, 2021.
YouTube · Simons Institute ·
Sep 3, 2021
WGAN with Gradient Penalty and Attention - YouTube
www.youtube.com › watch
Introduction to the Wasserstein distance: ... GAN — Wasserstein GAN & WGAN-GP: ... Improved Training of Wasserstein GANs: ...
YouTube · Moran Reznik ·
Sep 7, 2021
Geometry of covariance matrices, covariance operators ... - VinAI
www.vinai.io › seminar-posts › geometry-of-covariance-...
www.vinai.io › seminar-posts › geometry-of-covariance-...He has also held positions at the University of Vienna, Austria, ... Regularization of the 2-Wasserstein distance (from Optimal Transport).
VinAI · VinAI Research ·
Sep 10, 2021
"Wasserstein barycenters from the computational perspective ...
www.youtube.com › watch
Wasserstein barycenter allows to generalize the notion of average object to the space of probability measures and has a number of ...
YouTube · Combgeo Lab ·
Sep 15, 2021
Pavel Dvurechensky - "Wasserstein barycenters from the
computational perspective" | MoCCA'20
YouTube · Combgeo Lab
40 minutes, 12 seconds
Sep 15, 2021
Po-Ling Loh - Robust W-GAN-Based Estimation Under ...
... an appropriately defined ball around an uncontaminated distribution. ... Specifically, we analyze properties of Wasserstein GAN-based ...
YouTube · One world theoretical machine learning ·
Sep 23, 2021
PaperView: Generalized Wasserstein Dice Score for ...
web.cs.ucla.edu › ~shayan › video › generalized-wasserst...
web.cs.ucla.edu › ~shayan › video › generalized-wasserst...
Soft generalisations of the Dice score allow it to be used as a loss function for training convolutional neural networks (CNN). Although CNNs ...
UCLA Computer Science ·
Sep 27, 2021
Лекция 7. Расстояние Вассерштейна к инвариантному распределению. Дороговцев А. А.43 views
Лекция 8. Скорость сходимости к инвариантному распределению в метрике Вассерштейна. Дороговцев А. А.31 views
Sep 29, 2021
2021 Oct=>
Niloy Biswas - Bounding Wasserstein distance with couplings
This video was contributed to the workshop https://bayescomp-isba.github.io/measuringquality.html.
YouTube · ISBA - International Society of Bayesian Analysis ·
Oct 5, 2021
Brownian motion on Wasserstein space and Dean-Kawasaki models. Max von Renesse
85 views Oct 6, 2021 The session of the seminar "Malliavin Calculus and its Applications" 5th of October, 2021
Oct 5, 2021
Oct 6, 2021
On quantum Wasserstein distances - YouTube
www.youtube.com › watch
In this talk, I will describe several approaches to introduce a quantum analogue of the optimal transport problem and related Wasserstein ...
YouTube · Max Planck Science ·
Oct 10, 2021
Nonlocal Wasserstein Distance and the Associated Gradient ...
... Mellon Univeristy)https://simons.berkeley.edu/talks/nonlocal-wasserstein-distance-and-associated-gradient-flowsDynamics and Discretiz...
YouTube · Simons Institute ·
Oct 26, 2021
Brownian motion on Wasserstein space and Dean Kawasaki ...
We will survey some results on the construction of candidate models for Brownian motion on Wasserstein space and the connection to the ...
YouTube · Max Planck Science ·
Oct 9, 2021
On quantum Wasserstein distances
31 views Max Planck Science YouTube
Oct 10, 2021
2021
Arnaud Fickinger on Twitter: "We provably achieve cross ...
twitter.com › arnaudfickinger › status
twitter.com › arnaudfickinger › status
... by minimizing the Gromov-Wasserstein distance with deep RL. ... of the state-action space, and propose Gromov-Wasserstein Imitation ...
Twitter ·
Oct 11, 2021
Large-Scale Wasserstein Gradient Flows [in Russian] - YouTube
www.youtube.com › watch
Slides: https://bayesgroup.github.io/bmml_sem... Speaker: Petr Mokrov, SkolTech Wasserstein gradient flows provide a powerful means of ...
YouTube · BayesGroup.ru ·
Oct 17, 2021
Pablo Samuel Castro ☠️ (@psc@sigmoid.social) on Twitter ...
twitter.com › pcastr › status1:55
... paper) gets around this but both still rely on the expensive Kantorovich/Wasserstein metric 3/ https://t.co/KoCztxNwDV" / Twitter ...
Twitter ·
Oct 22, 2021
T1) Wasserstein Generative Adversarial Network (WGAN ... Without Gradient Penalties706 viewsStreamed live on
Oct 25, 2021
Training Wasserstein Generative Adversarial Networks .
Dohyun Kwon (University of Wisconsin, Madison)Training Wasserstein Generative Adversarial Networks Without Gradient PenaltiesDynamics and ...
YouTube · Simons Institute ·
Oct 26, 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance
Simons Institute
Wasserstein GANs Work Because They Fail (to ... - YouTube
1,235 views Streamed live on
Oct 27, 2021
Wasserstein GANs Work Because They Fail (to ... - YouTube32:41
Jan Stanczuk (University of Cambridge)https://simons.berkeley.edu/talks/wasserstein-gans-work-because-they-failDynamics and Discretization: ...
YouTube · Simons Institute ·
Oct 28, 2021
Sampling From Wasserstein Barycenter
(Ecole Centrale de Marseille)
22 views Streamed live on
Oct 28, 2021
Sampling From Wasserstein Barycenter - YouTube
mons.berkeley.edu/talks/sampling-wasserstein-barycenterDynamics and Discretization: ...
YouTube · Simons Institute ·
Oct 29, 2021
Poster A-06: Intrinsic Sliced Wasserstein Distances ... - YouTube
Collections of probability distributions arise in a variety of statistical applications ranging from user activity pattern analysis to brain ...
YouTube · Bay Learn ·
Oct 28, 2021
Extending the JKO Scheme Beyond Wasserstein-2 Gradient ...
www.youtube.com › watch
Matthew Jacobs (UCLA)https://simons.berkeley.edu/talks/extending-jko-scheme-beyond-wasserstein-2-gradient-flowsDynamics and Discretization: ...
YouTube · Simons Institute ·
Oct 29, 2021
2021 Nov=>
Training Wasserstein GANs without gradient penalties15 views
Nov 8, 2021
Wasserstein Embeddings in the Deep Learning Era - YouTube
... Soheil Kolouri on 24th November in the one world seminar on the mathematics of machine learning on the topic "Wasserstein Embeddings in.
YouTube · One world theoretical machine learning ·
Nov 27, 2021
2021 Dec=>
Dimensionality Reduction for Wasserstein Barycenter
The Wasserstein barycenter is a geometric construct which captures the notion of centrality among probability distributions, and which has ...
SlidesLive ·
Dec 6, 2021
Dynamical Wasserstein Barycenters for Time-Series Modeling5:58
Many time series can be modeled as a sequence of segments representing high-level discrete states, such as running and walking in a human ... SlidesLive ·
Dec 6, 2021
Unbalanced Gromov Wasserstein Distance: Conic ...
slideslive.com › unbalanced-gromov-wasserstein-distance-...
Comparing metric measure spaces (i.e. a metric space endowed with a probability distribution) is at the heart of many machine learning …nnSlidesLive ·
Dec 6, 2021
Tighter Expected Generalization Error Bounds via
Wasserstein Distance - SlidesLive
slideslive.com › tighter-expected-generalization-error-bou...
Moreover, when the loss function is bounded and the geometry of the space is ignored by the choice of the metric in the Wasserstein distance ...
SlidesLive ·
Dec 6, 2021
Barycenters of Natural Images Constrained Wasserstein ...
Barycenters of Natural Images Constrained Wasserstein Barycenters for Image Morphing. Dror Simon, Aviad Aberdam. Keywords: image morphing, image ...
Papertalk · Com againputerVisionFoundation Videos ·
Dec 6, 2021
Averaging on the Bures-Wasserstein manifold: dimension-free ...
slideslive.com › averaging-on-the-bureswasserstein-manif...
... barycenter of Gaussian distributions with respect to the optimal transport metric. Although the objective is geodesically non-convex,...
SlidesLive ·
Dec 6, 2021
Non-asymptotic convergence bounds for Wasserstein ...
slideslive.com › nonasymptotic-convergence-bounds-for-...
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds. Dec 6, 2021 ... the Wasserstein distance to the model distribution.
SlidesLive ·
Dec 6, 2021
Generalization Bounds for (Wasserstein) Robust Optimization
slideslive.com › generalization-bounds-for-wasserstein-ro...
slideslive.com › generalization-bounds-for-wasserstein-ro...
Generalization Bounds for (Wasserstein) Robust Optimization. Dec 6, 2021 ... of robust optimization and Wasserstein distributionally robust optimization.
SlidesLive ·
Dec 6, 2021
A Theory of the Distortion-Perception Tradeoff in Wasserstein ...
slideslive.com › a-theory-of-the-distortionperception-trad...
slideslive.com › a-theory-of-the-distortionperception-trad...
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space. Dec 6, 2021. Speakers. About. The lower the distortion of an estimator, the more the ...
SlidesLive ·
Dec 6, 2021
Pooling by Sliced-Wasserstein Embedding - SlidesLive
slideslive.com › pooling-by-slicedwasserstein-embedding
slideslive.com › pooling-by-slicedwasserstein-embedding
Pooling by Sliced-Wasserstein Embedding. Dec 6, 2021 ... distribution and propose an end-to-end trainable Euclidean embedding for Sliced-Wasserstein distan…
SlidesLive ·
Dec 6, 2021
Wasserstein distance maximizing Intrinsic Control · SlidesLive
slideslive.com › wasserstein-distance-maximizing-intrinsic...
slideslive.com › wasserstein-distance-maximizing-intrinsic...
... Deep Reinforcement Learning; Wasserstein distance maximizing Intrinsic Control ... Wasserstein distance maximizing Intrinsic Control. Dec 6, 2021 ...
SlidesLive ·
Dec 6, 2021
Fast Approximation of the Sliced-Wasserstein Distance Using ...
slideslive.com › fast-approximation-of-the-slicedwasserste...
slideslive.com › fast-approximation-of-the-slicedwasserste...
The Sliced-Wasserstein distance (SW) is being increasingly used in machine learning applications as an alternative to the Wasserstein ... Dec 6, 2021 ...
SlidesLive ·
Dec 6, 2021
Arnaud Fickinger (@arnaudfickinger) / Twitter
Find out more about Gromov-Wasserstein imitation learning at our poster Wed ... RL Fine-Tuning searches over the neural parameter space at inference time by ...
Twitter ·
Dec 8, 2021
Google Nest Cam (battery) Anti-Theft Mount - Wasserstein
wasserstein-home.com › Collections › All
wasserstein-home.com › Collections › All
Easy to install and looks totally integrated. Simple device that adds peace of mind. Recommends this product. ✓ Yes.
Wasserstein · Wasserstein Home ·
Dec 8, 2021
Robert Dadashi (@robdadashi) / Twitter
twitter.com › robdadashiWe provably achieve cross-domain transfer in non-trivial continuous control domain by minimizing the Gromov-Wasserstein distance with deep RL.
Twitter ·
Dec 15, 2021
Talk by Prof. Soheil Kolouri, Vanderbilt University - YouTube
www.youtube.com › watch
Title: Wasserstein Embeddings in the Deep Learning Erahosted by High-dimensional Statistical Modeling Team (PI: Makoto Yamada )For more ...
YouTube · AIP RIKEN ·
Dec 19, 2021
Wasserstein gradient flows for machine learning by Anna Korba
www.youtube.com › watch
Minisymposia: Wasserstein gradient flows for machine learningAnna Korba (ENSAE, Paris)An important problem in machine learning and ...
YouTube · Red Estratégica en Matemáticas ·
Dec 23, 2021
Gromov-Wasserstein based optimal transport to align... - Rebecca Santorella - MLCSB - ISMB 2020
476 views Gromov-Wasserstein based optimal transport to align single-cell multi-omics data - Re
2.7K subscribers
Dec 23, 2021
An Invitation to Optimal Transport, Wasserstein Distances, ...
books.google.com › books
Alessio Figalli, Federico Glaudo · 2021 · No preview
"This book provides a self-contained introduction to optimal transport, and it is intended as a starting point for any researcher who wants to enter into this beautiful subject.
2021
283 titles before 2021
+ 104 videos in 2021
= 387 titles
end 2021
start 2022
start 2022 67 videos
2022 Jan>
Earth Mover's Distance and Maximum Mean Discrepancy
Introduction to the Wasserstein distance ... Regularized Wasserstein Distances & Minimum Kantorovich Estimators. ... NASA Night Sky Network.
YouTube · Krishnaswamy Lab · Jan 13, 2022
2022 2/3
Julien Tierny (2/3/22): Wasserstein Distances, Geodesics and ...
In this talk, I will present a unified computational framework for the estimation of distances, geodesics and barycenters of merge trees.
YouTube · Applied Algebraic Topology Network ·
Feb 3, 2022
Computation of Discrete Flows Over Networks via Constrained ...
Computation of Discrete Flows Over Networks via Constrained Wasserstein Barycenters. 8 views8 views. Feb 10, 2022.
YouTube · LatinX in AI ·
Feb 10, 2022
2022 2/20
The quantum Wasserstein distance of order 1 - YouTube
Presented on Tuesday, February 15, 2022, at 2 p.m. (Paris time)Within the framework ofSeed Seminar of Mathematics and Physics,carrying its ...
YouTube · Seed Seminar ·
Feb 20, 2022
2022 2/26
Wasserstein Distance: Metric Proof - YouTube
We prove that W_p is a metric. Can be found in Villani's ... Your browser can't play this video. Learn more. Switch camera ...
YouTube · Tyler Masthay ·
3:38 / 26:43
Feb 26, 2022
2022 Mar=>
paperswithcode.com › author › jiqing-wu
paperswithcode.com › author › jiqing-wu1 code implementation • 1 Mar 2022 • Jiqing Wu, Inti Zlobec, Maxime Lafarge, ... among which the family of Wasserstein GANs (WGANs) is considered to be ...
Papers With Code · cantabilewq ·
Mar 1, 2022
2022 3/17
Wasserstein gradient flows for machine learning | mathtube.org
Date: Thu, Mar 17, 2022 ... In particular, one can leverage the geometry of Optimal transport and consider Wasserstein gradient flows for the loss ...
Mathtube ·
Mar 17, 2022
2022 3/18
Statistical Analysis of Wasserstein Distributionally Robust ...
We consider statistical methods which invoke a min-max distributionally robust formulation to extract good out-of-sample performance in ...
YouTube · INFORMS ·
Mar 18, 2022
Bartolomeo Stellato (@b_stellato) / Twitter
Princeton, NJ stellato.io Joined October 2009 ... We derive theoretical bounds on how to adjust the Wasserstein ball radius to compensate for clustering.
Twitter ·
Mar 21, 2022
2022 53/27
#ComputerVision #DeepLearning #Pytorch
62 - Wasserstein GAN (WGAN) Architecture Understanding | Deep Learning | Neural Network299 views
Mar 27, 2022
2022 3/27b
#ComputerVision #DeepLearning #Pytorch62 - Wasserstein GAN (WGAN) Architecture Understanding | Deep Learning | Neural Network299 views
Mar 27, 2022
2022 3/27c
[ZY4] Training Wasserstein GANs without gradient penalties
e-TEC Talks] @ SNU Winter 2022[Presenter] Dr. Yeoneung Kim, Seoul National Univ.[Topic] “Training Wasserstein GANs without gradient ...
YouTube · SNU ECE BK21 ·
Mar 27, 2022
2022 3/28
Fixed Support Tree-Sliced Wasserstein Barycenter - SlidesLive
slideslive.com › fixed-support-treesliced-wasserstein-bary...
slideslive.com › fixed-support-treesliced-wasserstein-bary...
The Wasserstein barycenter has been widely studied in various fields, ... Mar 28, 2022 ... By contrast, the Wasserstein distance on a tree, ...
SlidesLive ·
Mar 28, 2022
EASI-STRESS on Twitter: "Part 2 of the EASI-STRESS ...
twitter.com › EASI_STRESS › status
twitter.com › EASI_STRESS › status
8:12 AM · Mar 29, 2022 ·Twitter Web App ... optimal transport along with new JAX software for (Euclidean) Wasserstein-2 OT! https://arxiv.org/abs/2210.12153 ...
Twitter · 1 month ago
Mar 29, 2022
2022 3/31
Wasserstein distributionally robust decision problems
Jan Obloj, University of Oxford
Thursday, iSMi
March 31, 2022
2022 Apr=>
DAG-WGAN: Causal Structure Learning with Wasserstein ...
www.youtube.com › watch
DAG-WGAN: Causal Structure Learning with Wasserstein Generative Adversarial NetworksAuthorsHristo Petkov, Colin Hanley and Feng Dong, ...
YouTube · Computer Science & IT Conference Proceedings ·
Apr 7, 2022
2022 4/13
Gerrardo Vargas: Quantitative control of Wasserstein distance between Brownian motion and the Gold..
7 views
Apr 13, 2022
Xerra (@Xerra_EO) / Twitter
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian ... A new open-source tool created by #NASA's Alaska Satellite Facility (ASF) ...
Twitter ·
Apr 20, 2022
Gabriel Peyré on Twitter: "Did I mention that this is the ...
twitter.com › gabrielpeyre › status
twitter.com › gabrielpeyre › status0:08
Gradient descent on particles' positions (Langrangian) is equivalent to ... D
id I mention that this is the Wasserstein gradient flow of the ...
Twitter ·
Apr 25, 2022
2022 May=>
22
Nhat Ho (@nhatptnk8912) / Twitter
mobile.twitter.com › nhatptnk8912
"On the Efficiency of Entropic Regularized Algorithms for Optimal Transport", ... My paper, “Entropic Gromov-Wasserstein between Gaussian Distributions” ...·
May 7, 2022
2022 5/9
Wasserstein Sensitivity of Risk and Uncertainty Propagation
This talk was part of the Workshop on "Approximation of high-dimensional parametric PDEs in forward UQ" held at the ESI
YouTube · Erwin Schrödinger International Institute for Mathem
May 9 to 13, 2022.
2022 5/11
Wasserstein Generative Adversarial Networks for Online Test ...
This is the video presentation for the paper "Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical ...
YouTube · Search-Based Software Testing Workshop (SBST) ·
May 11, 2022
2022 5/12
Wasserstein Sensitivity of Risk and Uncertainty Propagation
May 12, 2022 ... in both total variation and Wasserstein distance. ... respect to the Wasserstein distance of perturbed input distributions.
YouTube · Erwin Schrödinger International Institute for
May 12, 2022
Robot Intelligence Lab (@RobotIntelliLab) / Twitter
twitter.com › robotintellilab
The Robot Intelligence Lab, Imperial College London. ... Myoelectric Prosthetic Hands: a Highly Data-Efficient Controller Based on the Wasserstein Distance'.
Twitter ·
May 12, 2022
The Wasserstein-Martingale projection of a Brownian motion ...
www.imsi.institute › Videos
The Wasserstein-Martingale projection of a Brownian motion given initial and terminal ... Monday, May 16, 2022 ... 1155 E. 60th Street, Chicago, IL 60637.
Institute for Mathematical and Statistical Innovation ·
May 16, 2022
2022 5/18
Efect of Dependence on the Convergence of Empirical Wasserstein Distance
Nabarun Deb, Columbia University
Abstract: The Wasserstein distance is a powerful tool in modern machine learning to metrize the space of probability distributions ...
Institute for Mathematical and Statistical Innovation ·
Wednesday,
May 18, 2022
2022 5/20
Sampling with kernelized Wasserstein gradient flows • IMSI
www.imsi.institute › Videos
... the dissimilarity to the target distribution), and its Wasserstein gradient flow is approximated by an interacting particle system.
Institute for Mathematical and Statistical Innovation ·
May 20, 2022
2022 May 25
Commencement 2023 - Harvard Law School
May 24, 2023 ... at the corner of Massachusetts Avenue and Everett Street, which is near the North entrance to Wasserstein Hall (1585 Massachusetts Avenue).
Harvard Law School · Harvard Law School ·
May 25, 2022
2022 June=>
2022 6/1
Po-Ling Loh - Robust W-GAN-Based Estimation ... - YouTube
Po-Ling Loh - Robust W-GAN-Based Estimation Under Wasserstein Contamination. 74 views Jun 1, 2022. Erwin Schrödinger International Institute ...
YouTube · Erwin Schrödinger International Institute for Mathematics and Physics (ESI) · Jun
June 1, 2022
Tweets with replies by César A. Uribe (@CesarAUribe) / Twitter
mobile.twitter.com › cesarauribe › with_replies
mobile.twitter.com › cesarauribe › with_replies
ditor-in-Chief Andrew Teel - 'Approximate Wasserstein attraction flows for dynamic mass transport over ...
Twitter ·
Jun 3, 2022
2022 6/8
Wasserstein GAN (Q&A) | Lecture 64 (Part 5) - YouTube
29 views
Maziar Raissi
Jun 8, 2022
2022 6/13
Help with understanding Wasserstein distance : r/math - Reddit
www.reddit.com › math › comments › help_with_underst...
For probability and statistics, the Wasserstein metric defines a distance between probability distributions. You are really looking at distances ...
Reddit · Quanta Magazine ·
Jun 13, 2022
2022 Jul=>
CoRL2022-WASABI - Google Sites
sites.google.com › view › corl2022-wasabi
sites.google.com › view › corl2022-wasabi
Learning agile skills is one of the main challenges in robotics. ... imitation learning method named Wasserstein Adversarial Behavior Imitation (WASABI).
Google Sites · Chenhao Li ·
Jul 1, 2022
2022 7/2
Wasserstein GANs with Gradient Penalty Compute Congested ...
slideslive.com › wasserstein-gans-with-gradient-penalty-c...
slideslive.com › wasserstein-gans-with-gradient-penalty-c...
serstein GANs with Gradient Penalty (WGAN-GP) are a very popular method for training generative models to produce high quality synthetic ...
SlidesLive · m
Jul 2, 2022
Princeton Insights (@pu_insights) / Twitter
twitter.com › pu_insights
Guillaume Martinet presents "Variance Minimization in the Wasserstein Space for Invariant Causal Prediction" with an oral at #AISTATS2022! We address the ...
Twitter ·
Jul 6, 2022
Raghav Somani (@SomaniRaghav) / Twitter
There are analogs of the Wasserstein metrics over probability measures. ... We showed previously that graphons carry a geodesic metric structure with them.
Twitter ·
Jul 20, 2022
marco cuturi (@CuturiMarco) / Twitter
twitter.com › cuturimarcoMolecular Machine Learning Conference 2022 | MIT Jameel Clinic ... Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein.
Twitter ·
Jul 29, 2022
2022 Aug=>
Data Augmentation via Wasserstein Geodesic Perturbation for ...
ID 36: GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust ECG Prediction ... MIT OpenCourseWare. MIT OpenCourseWare.
YouTube · Machine Learning for Healthcare ·
Aug 1, 2022
Towards Instant Calibration in Myoelectric Prosthetic Hands
www.youtube.com › watchDigby Chappell presenting the ICORR 2022 paper:D. Chappell, Z. Yang, ... Based on the Wasserstein Distance,” Proceedings of the 2022 IEEE ...
YouTube · Imperial REDS Lab ·
Aug 4, 2022
Welcome to Hao Su's homepage - UCSD CSE
haosu AT eng.ucsd.edu / bio / CV / google scholar / publication ... Use VAE and Wasserstein Distance to align policies from local and global perspectives, ...
UCSD CSE · SU Lab UC San Diego ·
Aug 4, 2022
weets with replies by Elvis Dohmatob ... - Twitter
mobile.twitter.com › dohmatobelvis › with_replies
hum, ok, great. i'm aware of the geometric structure of wasserstein space; i just wasn't sure this would be ... We provide some answers in a new paper w/.Twitter ·
Aug 14, 2022
ipsn.acm.org › 2022
The International Conference on Information Processing in Sensor Networks (IPSN) is a leading annual forum on research in networked sensing and control, ...
IPSN · IPSN YouTube ·
Aug 17, 2022
2022 8/26
Breast Cancer Histopathology Image Super-Resolution Using ...
ieeeaccess.ieee.org › featured-articles › breastcancer_supe...
Moreover, we have applied improved Wasserstein with a Gradient penalty to ... Moreover, several evaluation metrics, such as PSNR, MSE, SSIM, MS-SSIM, ...
IEEE Access · IEEE Access ·
Aug 26, 2022
2022 Sep=>
... from Switzerland and Japan | September 7 – 8, 2022 | HybridVo Ng... ... Statistical Inference for the Wasserstein Distance by Selective ...
YouTube · Center for Intelligent Systems CIS EPFL · 2 weeks ago
MIT Ph/D/ student
Sep 7, 2022 Sep 8, 2022
Rohan Anil on Twitter: "Today, we present our paper on ...
twitter.com › _arohan_ › status
twitter.com › _arohan_ › status5:30 PM · ·Twitter Web App ... but this paper of Hashimoto, Gifford and Jaakkola on learning Wasserstein flows is one of my all ...
Twitter · 4 days ago
Tweets with replies by Laurence Aitchison ... - Twitter
mobile.twitter.com › laurence_ai › with_replies
From local circuit computations to brain area interactions. ... Mingxuan's paper on Sliced Wasserstein Variational Inference has been awarded the Best ...
Twitter ·
Sep 29, 2022
2022 Oc=>
2022 10/4
The Quantum Wasserstein Distance of Order 1 - YouTube
54 views Speaker: Giacomo De Palma, University of Bologna Title: The Quantum Wasserstein Distance of Order 1 … ...more ...more.
YouTube · Mathematical Picture Language · 1
Oct 4, 2022 see Feb 20
Giacomo De Palma | October 4, 2022 - YouTube
Speaker: Giacomo De Palma, University of BolognaTitle: The Quantum Wasserstein Distance of Order 1Abstract: We propose a generalization of ...
YouTube · Mathematical Picture Language ·
Oct 4, 2022
The Back-And-Forth Method For Wasserstein Gradient Flows
https://cse.umn.edu/ima/events/back-and-forth-method-wasserstein-gradient-flows.
YouTube · IMA UMN · 1 week ago
Oct 21, 2022
Nicolas Keriven on Twitter: "New small preprint "Stability of ...
twitter.com › n_keriven › status
twitter.com › n_keriven › status
New small preprint "Stability of Entropic Wasserstein Barycenters and application to random geometric graphs" We show that WB computed on ...
Twitter · 1 month ago
Oct 14, 2022
Frank Hutter on Twitter: "TabPFN is radically different from ...
mobile.twitter.com › FrankRHutter › status
mobile.twitter.com › FrankRHutter › status
10:52 AM ·.·Twitter Web App ... Gifford and Jaakkola on learning Wasserstein flows is one of my all time favorite on Optimal ...
Tweets with replies by Brandon Amos ... - Twitter
mobile.twitter.com › brandondamos › with_replies
I'veosted a new paper on amortizing convex conjugates for continuous optimal transport along with new JAX software for (Euclidean) Wasserstein-2 OT!
Twitter ·
Oct 24, 2022
Khai Nguyen (@KhaiBaNguyen) / Twitter
twitter.com › KhaiBaNguyen
In our new #NeurIPS2022 paper, we show that using multiple convolution layers ... measure over images to one dimension is better for the sliced Wasserstein ...
Twitter ·
Oct 24, 2022
PhD & Postdoc Program - ELLIS Society
ellis.eu › phd-postdocELLIS Doctoral Symposium 2022: 150 PhD students and leading AI ... (IST Austria) ... Wasserstein gradient flows of various metrics applied to the train.
ELLIS Society · ELLIS · 1 month ago
OCT 30, 2022
2022 Nov=>
PhD & Postdoc Program - ELLIS Society
ellis.eu › phd-postdocAdaptation and Robustness in Brains and Machines · Steffen Schneider (Ph.D. Student) ... Wasserstein gradient flows of various metrics applied to the train.
ELLIS Society · ELLIS ·
Nov 2, 2022
Chapter 5. Wasserstein GAN - GANs in Action video ... - O'Reilly
www.oreilly.com › library › view › gans-in-action
Get GANs in Action video edition now with the O'Reilly learning platform. O'Reilly members experience live online training, plus books, videos, ...
O'Reilly · Jakub Langr ·
Nov 7, 2022
Chenhao Li @ CoRL 2022 (@breadli428) / Twitter
twitter.com › breadli428
Chenhao Li @ CoRL 2022. @breadli428. Visiting researcher. @MIT ...
Wasserstein Adversarial Skill Imitation (WASABI) acquires agile behaviors from partial ...
Twitter · 1 month ago
Nov 11, 2022
Vo Nguyen Le Duy (RIKEN-AIP) - Exact Statistical Inference for the Wasserstein distance
Vo Nguyen Le Duy (RIKEN-AIP) - Exact Statistical Inference for the Wasserstein Distance by ...
... Wasserstein Distance by Selective Inference Abstract The Wasserstein distance (WD), ... e.g., in the form of confidence interval (CI).
YouTube · Center for Intelligent Systems CIS EPFL ·
Nov 16, 2022
uyen Le Duy (RIKEN-AIP) - Exact Statistical Inference for the Wasserstein Distance
... from Switzerland and Japan | September 7 – 8, 2022 | HybridVo Ng... ... by Selective Inference Abstract The Wasserstein distance (WD), ...
YouTube · Center for Intelligent Systems CIS EPFL ·
Nov 16, 2022
Regular/Invited Papers deadline is Novenber 11, 2022 (firm deadline, ... Wasserstein attraction flows for dynamic mass transport over networks'.
Twitter · 2 weeks ago
Nov 16, 2022
We propose Wasserstein Adversarial Skill Imitation (WASABI) which acquires ... will be presented at Conference on Robot Learning (CoRL) 2022 in New Zealand.
Linkedin · 2 weeks ago
Nov 17, 2022
Neural Operator || Physics Embedded Network || Seminar on
... GeONet: a neural operator for learning the Wasserstein geodesic2. Ruiy... ... Physics Embedded Network || Seminar on: November 18, 2022.
YouTube · CRUNCH Group: Home of Math + Machine Learning + X ·
Nov 18, 2022
Tweets with replies by Brandon Amos ... - Twitter
mobile.twitter.com › brandondamos › with_replies
For the L2-Gromov-Wasserstein distance, we study the structure of minimizers in Euclidean spaces for two different costs. The first cost is the scalar ...
Nov 25, 2022
Rémi Flamary (@RFlamary) / Twitter
Glad to announce that our paper on "Spherical Sliced-Wasserstein" was accepted ... Graph Neural Network with Optimal Transport Distances" at #NeurIPS2022.
Nov 25, 2022
Nhat Ho (@nhatptnk8912) / Twitter
Austin, Texas nhatptnk8912.github.io Joined March 2022 ... probability measure over images to one dimension is better for the sliced Wasserstein than doing ...
Nov 25, 2022
The Wasserstein-Martingale projection of a B.M. for ... - YouTube
www.youtube.com › watchJulio Backhoff-Veraguas (University of Vienna, Austria)The Wasserstein-Martingale projection of a Brownian motion given initial and terminal ...
YouTube · SPChile CL · 4 days ago
Nov 26, 2022
Khai Nguyen on Twitter: "In our new #NeurIPS2022 paper, we ...
twitter.com › KhaiBaNguyen › status
twitter.com › KhaiBaNguyen › status
In our new #NeurIPS2022 paper, we show that using multiple ... over images to one dimension is better for the sliced Wasserstein than doing ...
Nov 26, 2022
387 titles before 2022
+ 67 videos in 2022
= 454 videos till 2022
end 2022
2023
Well-posedness of Hamilton-Jacobi equations on the Wasserstein space on graphs
Wilfrid Gangbo, University of California, Los Angeles (UCLA)
Slides
Abstract:
We study a Hamilton-Jacobi equation on the Wasserstein space on graphs, in the presence of linear operators which include the discrete individual noise operator. Under appropriate conditions, slightly different from the ones covered by the classical theory, we prove a comparison principle, which allows to apply standard arguments for a well posedness theory.
(This talk is based on a joint work with C. Mou and A. Swiech).
1155 E. 60th Street, Chicago, IL 60637
Monda
Feb 20, 2023
454 titles before 2023
+1 videos in 2022
= 455 videos till 2022
end 2023
455 videos till 2022
+ 30 videos below
= 485 titles
Bbb
30 videos from Berkeley Library with Wasserstein in title unsorted by date
VIDEO 1
Ultrametric Gromov-Hausdorff and Gromov-Wasserstein Distances
Mémoli, Facundo (The Ohio State University)2021
OPEN ACCESS
Ultrametric Gromov-Hausdorff and Gromov-Wasserstein Distances
No Online Access
Mémoli, Facundo (The Ohio State University)
2021
V\\IDEO 2
Wasserstein Control of Mirror Langevin Monte Carlo
Shuangjian Zhang, Kelvin (École Normale Supérieure)2020
OPEN ACCESS
Wasserstein Control of Mirror Langevin Monte Carlo
No Online Access
Mémoli, Facundo (The Ohio State University)
2021
VIDEO 3
The Quadratic Wasserstein Metric for Inverse Data Matching Problems
Yang, Yunan (New York University)2020
This talk focus on two major effects of the quadratic Wasserstein (W2) distance as the measure of data discrepancy in computational solutions of inverse problems...
OPEN ACCESS
The Quadratic Wasserstein Metric for Inverse Data Matching Problems
No Online Access
Shuangjian Zhang, Kelvin (École Normale Supérieure)
2020
VIDEO 4
Wasserstein Geodesic between PacMan and Ghost
Carrillo, Jose ; Craig, Katy ; Wang, Li ; Chaozhen Wei2019
Wasserstein Geodesic between PacMan and Ghost
OPEN ACCESS
Wasserstein Geodesic between PacMan and Ghost
No Online Access
Carrillo, Jose
2019
VIDEO 5
Wasserstein Geodesic between PacMan and Ghost
Carrillo, Jose ; Craig, Katy ; Wang, Li ; Chaozhen Wei2019
Wasserstein Geodesic between PacMan and Ghost
OPEN ACCESS
Wasserstein Geodesic between PacMan and Ghost
No Online Access
2019
VIDEO 6
Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization
Craig, Katy (University of California, Santa Barbara)2020
...: the Wasserstein metric provides a new notion of distance for classifying distributions and a rich geometry for interpolating...
OPEN ACCESS
Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization
No Online Access
Craig, Katy (University of California, Santa Barbara)
2020
VIDEO 7
On Wasserstein Gradient Flows and the Search of Neural Network Architectures
Garcia Trillos, Nicolas (University of Wisconsin, Madison)2020
OPEN ACCESS
On Wasserstein Gradient Flows and the Search of Neural Network Architectures
No Online Access
2020
VIDEO 8
Wasserstein estimates and macroscopic limits in a model from ecology
Raoul, Gaël2018
.... This kinetic operator is then combined to selection and spatial dispersion operators. In this talk, we will show how the Wasserstein estimates that appear naturally...
Wasserstein estimates and macroscopic limits in a model from ecology
No Online Access
Raoul, Gaël
2018
Waging on the Bures-Wasserstein manifold: dimension-free ...
VIDEO 9
A partial Laplacian as an infinitesimal generator on the Wasserstein space
Gangbo, Wilfrid2018
We study stochastic processes on the Wasserstein space, together with their infinitesimal generators...
A partial Laplacian as an infinitesimal generator on the Wasserstein space
No Online Access
Gangbo, Wilfrid
2018 video Apr 10, 2018
VIDEO 10
Wasserstein-geometry as a natural language for Quantum hydrodynamics
Lessel, Bernadette2016
Wasserstein-geometry as a natural language for Quantum hydrodynamics
No Online Access
Lessel, Bernadette
2016
VIDEO 11
Wasserstein Metric from Transport Theory and Riemannian Structure of Density Functions
Tannenbaum, Allen (State University of New York, Stony Brook (SUNY))2014
OPEN ACCESS
Wasserstein Metric from Transport Theory and Riemannian Structure of Density Functions
No Online Access
Tannenbaum, Allen (State University of New York, Stony Brook (SUNY))
2014
VIDEO 12
Wasserstein for learning image regularisers
Schönlieb, Carola-Bibiane
In this talk we will discuss the use of a Wasserstein loss function for learning regularisers in an adversarial manner...
Wasserstein for learning image regularisers
No Online Access
Schönlieb, Carola-Bibiane
see Dec 11, 2018
VIDEO 13
The size of Wasserstein spaces
Kloeckner, Benoît
The size of Wasserstein spaces
No Online Access
Kloeckner, Benoît
see May 24, 2012
VIDEO 14
Regularization of Barycenters in the Wasserstein Space
Cazelles, Elsa
The concept of barycenter in the Wasserstein space corresponds to define a notion...
Regularization of Barycenters in the Wasserstein Space
No Online Access
Cazelles, Elsa
see April 10, 2018 see May 1, 2017
VIDEO 15
Wasserstein Distance and the Distributionally Robust TSP
Carlsson, John Gunnar
... distribution of demand against all distributions whose Wasserstein distance to an observed demand distribution is bounded from above...
Wasserstein Distance and the Distributionally Robust TSP
No Online Access
see paper by JG Carlsson, M Behroozi, K Mihic - Operations Research, 2018
see paper in 2017 see video Mar 6, 2018
VIDEO 16
Lagrangian schemes for Wasserstein gradient flows
Düring, Bertram
A wide range of diffusion equations can be interpreted as gradient flow with respect to Wasserstein distance of an energy functional...
Lagrangian schemes for Wasserstein gradient flows
No Online Access
see papers in 2020, 2021, 2022
VIDEO 17
The total variation Wasserstein gradient flow
Poon, Clarice
The total variation Wasserstein gradient flow
No Online Access
see papers in 2017, 2019
VIDEO 18
梯度流The Wasserstein metric space（五）
冯进2012
梯度流The Wasserstein metric space（五）
No Online Access
[Chinese Gradient flow The Wasserstein metric space (5)
Feng Jin 2012]
[
VIDEO 19
梯度流The Wasserstein metric space（一）
冯进2012
梯度流The Wasserstein metric space（一）
No Online Access
[Chinese Gradient flow The Wasserstein metric space (1)
Feng Jin 2012
Gradient flow The Wasserstein metric space (1)]
VIDEO 20
梯度流The Wasserstein metric space（三）
冯进2012
梯度流The Wasserstein metric space（三）
No Online Access
[Chinese Degree flow The Wasserstein metric space (3)
Feng Jin 2012
Gradient flow The Wasserstein metric space (3) ]
VIDEO 21
梯度流The Wasserstein metric space（二）
冯进2012
梯度流The Wasserstein metric space（二）
No Online Access
[Chinese Gradient flow The Wasserstein metric space (2)
Feng Jin 2012
radient flow The Wasserstein metric space (]
VIDEO 22
梯度流The Wasserstein metric space（四）
冯进2012
梯度流The Wasserstein metric space（四）
No Online Access
[Chinese Gradient flow The Wasserstein metric space (4)
Feng Jin 2012
Gradient flow The Wasserstein metric space (4)]
VIDEO 23
Some recent developments in the use of Gromov-Hausdorff and Gromov-Wasserstein metrics
Mémoli, Facundo (Stanford University)2009
.... TheGromov-Wasserstein distance, a variant of the Gromov-Hausdorffdistance that is based on mass transportation ideas, directly leads tocontinuous optimization problems with quadratic objective...
OPEN ACCESS
Som recent developments in the use of Gromov-Hausdorff and Gromov-Wasserstein metrics
No Online Access
VIDEO 24
Inference in generative models using the Wasserstein distance
Bernton, Espen
.... We use Wasserstein distances between empirical distributions of observed data and empirical distributions of synthetic data drawn from such models to estimate their parameters...
Inference in generative models using the Wasserstein distance
No Online Access
paper in 2017
VIDEO 25
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator
Kuhn, Daniel
We introduce a distributionally robust maximum likelihood estimation model with a Wasserstein ambiguity set to infer the inverse covariance matrix of a p-dimensional Gaussian random vector from n independent samples...
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator
No Online Access
paper in 2022
VIDEO 26
Differential forms and symplectic geometry on Wasserstein space
Pacini, Tommaso
see May 24, 2012 video
VIDEO 27
A Review of Wasserstein Barycenter Algorithms, with a New One
Peyré, Gabriel
A Review of Wasserstein Barycenter Algorithms, with a New One
No Online Access
see video Feb 19, 2015
VIDEO 28
Wasserstein distance for generalized persistence modules and abelian categories
Scott, Jonathan
.... The Wasserstein distances are the standard family of $L^p$ distances (with $1 \leq p \leq \infty$) for persistence modules...
Wasserstein distance for generalized persistence modules and abelian categories
No Online Access
see video Aug 7, 2018
VIDEO 29
Data-Driven Chance Constrained Programs over Wasserstein Balls
Wiesemann, Wolfram
We provide an exact deterministic reformulation for data-driven chance constrained programs over Wasserstein balls...
Data-Driven Chance Constrained Programs over Wasserstein Balls
No Online Access
see papers in 2018, 2022 see video an 14, 2019
VIDEO 30
Zhao, Hongkai
Multi-scale Non-Rigid Point Cloud Registration Using Robust Sliced-Wasserstein Distance via Laplace-Beltrami Eigenmap
No Online Access
Zhao, Hongkai
see Seb 17, 2015
end videos with my name in title yyy bbbb
———————————————
_______________________________