Mon 5:00 a.m. - 5:45 a.m.
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Optimal Transport in the Biomedical Sciences: Challenges and Opportunities
(
Plenary talk
)
>
SlidesLive Video
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Caroline Uhler
馃敆
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Mon 5:45 a.m. - 6:00 a.m.
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Implicit Riemannian Concave Potential Maps
(
Oral
)
>
SlidesLive Video
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Danilo Jimenez Rezende 路 S茅bastien Racani猫re
馃敆
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Mon 6:00 a.m. - 7:10 a.m.
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Regularity theory of optimal transport maps
(
Plenary talk
)
>
SlidesLive Video
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Alessio Figalli
馃敆
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Mon 7:10 a.m. - 7:35 a.m.
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Generative adversarial learning with adapted distances
(
Keynote talk
)
>
SlidesLive Video
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Beatrice Acciaio
馃敆
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Mon 7:35 a.m. - 8:15 a.m.
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Spotlight Presentations
(
Spotlight Presentations
)
>
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馃敆
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Mon 8:15 a.m. - 8:45 a.m.
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Poster Session
(
Poster Session
)
>
link
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馃敆
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Mon 8:45 a.m. - 9:30 a.m.
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Entropic Regularization of Optimal Transport as a Statistical Regularization
(
Plenary talk
)
>
SlidesLive Video
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L茅na茂c Chizat
馃敆
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Mon 9:30 a.m. - 9:55 a.m.
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Optimal transport and probability flows
(
Keynote talk
)
>
SlidesLive Video
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Chin-Wei Huang
馃敆
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Mon 9:55 a.m. - 10:20 a.m.
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Graphical Optimal Transport and its applications
(
Keynote talk
)
>
SlidesLive Video
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Yongxin Chen
馃敆
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Mon 10:20 a.m. - 11:00 a.m.
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Poster Session
(
Poster Session
)
>
link
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馃敆
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Mon 11:00 a.m. - 11:25 a.m.
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Enabling integrated analysis of single-cell multi-omic datasets with optimal transport
(
Keynote talk
)
>
SlidesLive Video
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Pinar Demetci
馃敆
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Mon 11:25 a.m. - 11:40 a.m.
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Entropic estimation of optimal transport maps
(
Oral
)
>
SlidesLive Video
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Aram-Alexandre Pooladian 路 Jonathan Niles-Weed
馃敆
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Mon 11:40 a.m. - 11:55 a.m.
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Discrete Schr枚dinger Bridges with Applications to Two-Sample Homogeneity Testing
(
Oral
)
>
SlidesLive Video
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Zaid Harchaoui 路 Lang Liu 路 Soumik Pal
馃敆
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Mon 11:55 a.m. - 12:20 p.m.
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Benefits of using optimal transport in computational learning and inversion
(
Keynote talk
)
>
SlidesLive Video
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Yunan Yang
馃敆
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Mon 12:20 p.m. - 12:25 p.m.
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Concluding Remarks
(
Discussion
)
>
SlidesLive Video
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馃敆
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Mon 12:25 p.m. - 1:00 p.m.
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Poster session - 3 and social interaction
(
Poster session
)
>
link
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馃敆
|
-
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Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe
(
Poster
)
>
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Thibault Sejourne 路 Francois-Xavier Vialard 路 Gabriel Peyr茅
馃敆
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-
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Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe
(
Spotlight
)
>
SlidesLive Video
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Thibault Sejourne 路 Francois-Xavier Vialard 路 Gabriel Peyr茅
馃敆
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-
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Linear Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport
(
Poster
)
>
link
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Vladimir Kostic 路 Saverio Salzo 路 Massimiliano Pontil
馃敆
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-
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Gradient flows on graphons: existence, convergence, continuity equations
(
Poster
)
>
link
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Sewoong Oh 路 Soumik Pal 路 Raghav Somani 路 Raghav Tripathi
馃敆
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-
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Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
(
Poster
)
>
link
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Meyer Scetbon 路 Gabriel Peyr茅 路 Marco Cuturi
馃敆
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-
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Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
(
Spotlight
)
>
link
SlidesLive Video
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Meyer Scetbon 路 Gabriel Peyr茅 路 Marco Cuturi
馃敆
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-
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Cross-Domain Lossy Compression as Optimal Transport with an Entropy Bottleneck
(
Poster
)
>
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Huan Liu 路 George Zhang 路 Jun Chen 路 Ashish Khisti
馃敆
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-
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Learning Single-Cell Perturbation Responses using Neural Optimal Transport
(
Poster
)
>
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Charlotte Bunne 路 Stefan Stark 路 Gabriele Gut 路 Andreas Krause 路 Gunnar R盲tsch 路 Lucas Pelkmans 路 Kjong Lehmann
馃敆
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-
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Input Convex Gradient Networks
(
Poster
)
>
link
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Jack Richter-Powell 路 Jonathan Lorraine 路 Brandon Amos
馃敆
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-
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Input Convex Gradient Networks
(
Spotlight
)
>
link
SlidesLive Video
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Jack Richter-Powell 路 Jonathan Lorraine 路 Brandon Amos
馃敆
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-
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On the complexity of the optimal transport problem with graph-structured cost
(
Poster
)
>
link
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Jiaojiao Fan 路 Isabel Haasler 路 Johan Karlsson 路 Yongxin Chen
馃敆
|
-
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Subspace Detours Meet Gromov-Wasserstein
(
Poster
)
>
link
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Cl茅ment Bonet 路 Nicolas Courty 路 Fran莽ois Septier 路 Lucas Drumetz
馃敆
|
-
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Subspace Detours Meet Gromov-Wasserstein
(
Spotlight
)
>
link
SlidesLive Video
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Cl茅ment Bonet 路 Nicolas Courty 路 Fran莽ois Septier 路 Lucas Drumetz
馃敆
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-
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Measuring association with Wasserstein distances
(
Poster
)
>
link
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Johannes Wiesel
馃敆
|
-
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Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport
(
Poster
)
>
link
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Gonzalo Mena 路 Amin Nejatbakhsh 路 Erdem Varol 路 Jonathan Niles-Weed
馃敆
|
-
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Sinkhorn EM: An Expectation-Maximizationalgorithm based on entropic optimal transport
(
Spotlight
)
>
link
SlidesLive Video
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Gonzalo Mena 路 Amin Nejatbakhsh 路 Erdem Varol 路 Jonathan Niles-Weed
馃敆
|
-
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Factored couplings in multi-marginal optimal transport via difference of convex programming
(
Poster
)
>
link
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Quang Huy TRAN 路 Hicham Janati 路 Ievgen Redko 路 R茅mi Flamary 路 Nicolas Courty
馃敆
|
-
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Factored couplings in multi-marginal optimal transport via difference of convex programming
(
Spotlight
)
>
link
SlidesLive Video
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Quang Huy TRAN 路 Hicham Janati 路 Ievgen Redko 路 R茅mi Flamary 路 Nicolas Courty
馃敆
|
-
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Learning Revenue-Maximizing Auctions With Differentiable Matching
(
Poster
)
>
link
|
Michael Curry 路 Uro Lyi 路 Tom Goldstein 路 John P Dickerson
馃敆
|
-
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Learning Revenue-Maximizing Auctions With Differentiable Matching
(
Spotlight
)
>
link
SlidesLive Video
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Michael Curry 路 Uro Lyi 路 Tom Goldstein 路 John P Dickerson
馃敆
|
-
|
Entropic estimation of optimal transport maps
(
Poster
)
>
link
|
Aram-Alexandre Pooladian 路 Jonathan Niles-Weed
馃敆
|
-
|
Entropic estimation of optimal transport maps
(
Oral
)
>
link
|
Aram-Alexandre Pooladian 路 Jonathan Niles-Weed
馃敆
|
-
|
A Central Limit Theorems for Multidimensional Wasserstein Distances
(
Poster
)
>
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Alberto Gonzalez Sanz 路 Loubes Jean-Michel 路 Eustasio Barrio
馃敆
|
-
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Variational Wasserstein gradient flow
(
Poster
)
>
link
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Jiaojiao Fan 路 Amirhossein Taghvaei 路 Yongxin Chen
馃敆
|
-
|
Discrete Schr枚dinger Bridges with Applications to Two-Sample Homogeneity Testing
(
Poster
)
>
link
|
Zaid Harchaoui 路 Lang Liu 路 Soumik Pal
馃敆
|
-
|
Discrete Schr枚dinger Bridges with Applications to Two-Sample Homogeneity Testing
(
Oral
)
>
link
|
Zaid Harchaoui 路 Lang Liu 路 Soumik Pal
馃敆
|
-
|
Towards an FFT for measures
(
Poster
)
>
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Paul Catala 路 Mathias Hockmann 路 Stefan Kunis 路 Markus Wageringel
馃敆
|
-
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On Combining Expert Demonstrations in Imitation Learning via Optimal Transport
(
Poster
)
>
|
ilana sebag 路 Samuel Cohen 路 Marc Deisenroth
馃敆
|
-
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Sliced Multi-Marginal Optimal Transport
(
Poster
)
>
link
|
Samuel Cohen 路 Alexander Terenin 路 Yannik Pitcan 路 Brandon Amos 路 Marc Deisenroth 路 Senanayak Sesh Kumar Karri
馃敆
|
-
|
Implicit Riemannian Concave Potential Maps
(
Poster
)
>
link
|
Danilo Jimenez Rezende 路 S茅bastien Racani猫re
馃敆
|
-
|
Implicit Riemannian Concave Potential Maps
(
Oral
)
>
link
|
Danilo Jimenez Rezende 路 S茅bastien Racani猫re
馃敆
|
-
|
Multistage Monge Kantorovich Problem applied to optimal ecological transition
(
Poster
)
>
link
|
Clara Lage 路 Emmanuel Gobet
馃敆
|
-
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Wasserstein Adversarially Regularized Graph Autoencoder
(
Poster
)
>
link
|
Huidong Liang 路 Junbin Gao
馃敆
|
-
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Likelihood Training of Schr枚dinger Bridges using Forward-Backward SDEs Theory
(
Poster
)
>
link
|
Tianrong Chen 路 Guan-Horng Liu 路 Evangelos Theodorou
馃敆
|
-
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Efficient estimates of optimal transport via low-dimensional embeddings
(
Poster
)
>
link
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Patric Fulop 路 Vincent Danos
馃敆
|
-
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Optimal Transport losses and Sinkhorn algorithm with general convex regularization
(
Poster
)
>
link
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Augusto Gerolin 路 Simone Di Marino
馃敆
|
-
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Towards interpretable contrastive word mover's embedding
(
Poster
)
>
link
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ruijie jiang 路 Julia Gouvea 路 Eric L Miller 路 David Hammer 路 Shuchin Aeron
馃敆
|
-
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Optimizing Functionals on the Space of Probabilities with Input Convex Neural Network
(
Poster
)
>
link
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David Alvarez-Melis 路 Yair Schiff 路 Youssef Mroueh
馃敆
|
-
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Optimizing Functionals on the Space of Probabilities with Input Convex Neural Network
(
Spotlight
)
>
link
SlidesLive Video
|
David Alvarez-Melis 路 Yair Schiff 路 Youssef Mroueh
馃敆
|
-
|
Dual Regularized Optimal Transport
(
Poster
)
>
link
|
Rishi Sonthalia 路 Anna Gilbert
馃敆
|