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1706.00292
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Learning Generative Models with Sinkhorn Divergences
International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
1 June 2017
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
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Papers citing
"Learning Generative Models with Sinkhorn Divergences"
50 / 399 papers shown
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
Neural Information Processing Systems (NeurIPS), 2023
Jacob Lindbäck
Zesen Wang
Mikael Johansson
OT
273
2
0
29 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence
International Conference on Learning Representations (ICLR), 2023
Joon-Young Lee
Myeongho Jeon
Myung-joo Kang
Kyung-soon Park
AI4TS
298
2
0
24 May 2023
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs
Alberto González Sanz
Shayan Hundrieser
OT
166
14
0
16 May 2023
Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence
Bernoulli (Bernoulli), 2023
Rémi Leluc
Franccois Portier
Johan Segers
Aigerim Zhuman
383
13
0
10 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
449
30
0
08 May 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms
International Conference on Learning Representations (ICLR), 2023
H. Just
Feiyang Kang
Jiachen T. Wang
Yi Zeng
Myeongseob Ko
Ming Jin
R. Jia
346
76
0
28 Apr 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
International Conference on Machine Learning (ICML), 2023
Aram-Alexandre Pooladian
Heli Ben-Hamu
Carles Domingo-Enrich
Brandon Amos
Y. Lipman
Ricky T. Q. Chen
363
206
0
28 Apr 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing
AAAI Conference on Artificial Intelligence (AAAI), 2023
Shuai Li
Ziqi Chen
Hong-Tu Zhu
Christina Dan Wang
Wang Wen
93
5
0
09 Apr 2023
Keypoint-Guided Optimal Transport
Xiang Gu
Yucheng Yang
Weizhen Zeng
Jian Sun
Zongben Xu
223
1
0
23 Mar 2023
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
309
16
0
21 Mar 2023
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport
Mukul Bhutani
J. Zico Kolter
OT
AI4TS
136
0
0
14 Mar 2023
Light Unbalanced Optimal Transport
Neural Information Processing Systems (NeurIPS), 2023
Milena Gazdieva
Arip Asadulaev
Alexander Korotin
Evgeny Burnaev
OT
398
2
0
14 Mar 2023
An Approximation Theory Framework for Measure-Transport Sampling Algorithms
Mathematics of Computation (Math. Comp.), 2023
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef M. Marzouk
A. Sagiv
OT
243
19
0
27 Feb 2023
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Neural Information Processing Systems (NeurIPS), 2023
Biraj Dahal
Alex Havrilla
Minshuo Chen
Tuo Zhao
Wenjing Liao
GAN
180
12
0
25 Feb 2023
Transformed Distribution Matching for Missing Value Imputation
International Conference on Machine Learning (ICML), 2023
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
204
33
0
20 Feb 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
International Conference on Machine Learning (ICML), 2023
Marco Cuturi
Stephen Zhang
Pierre Ablin
OT
238
18
0
08 Feb 2023
Tetris-inspired detector with neural network for radiation mapping
Nature Communications (Nat. Commun.), 2023
Ryotaro Okabe
Shangjie Xue
Jiankai Yu
Tongtong Liu
Benoit Forget
Stefanie Jegelka
G. Kohse
Lin-Wen Hu
Mingda Li
88
9
0
07 Feb 2023
Domain Adaptation for Time Series Under Feature and Label Shifts
International Conference on Machine Learning (ICML), 2023
Huan He
Owen Queen
Teddy Koker
Consuelo Cuevas
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
310
104
0
06 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong
Kilian Fatras
Nikolay Malkin
G. Huguet
Yanlei Zhang
Jarrid Rector-Brooks
Guy Wolf
Yoshua Bengio
OOD
DiffM
OT
545
572
0
01 Feb 2023
Self-Consistent Velocity Matching of Probability Flows
Neural Information Processing Systems (NeurIPS), 2023
Lingxiao Li
Samuel Hurault
Justin Solomon
422
21
0
31 Jan 2023
Extremal Domain Translation with Neural Optimal Transport
Neural Information Processing Systems (NeurIPS), 2023
Milena Gazdieva
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
380
15
0
30 Jan 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
International Conference on Machine Learning (ICML), 2023
Ayush Bharti
Masha Naslidnyk
Oscar Key
Samuel Kaski
F. Briol
486
16
0
27 Jan 2023
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
International Conference on Machine Learning (ICML), 2023
Aram-Alexandre Pooladian
Vincent Divol
Jonathan Niles-Weed
OT
294
26
0
26 Jan 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
International Conference on Machine Learning (ICML), 2023
Khai Nguyen
Dang Nguyen
N. Ho
166
9
0
12 Jan 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Neural Information Processing Systems (NeurIPS), 2023
Khai Nguyen
Zhaolin Ren
Nhat Ho
OT
GAN
322
9
0
10 Jan 2023
Optimal transport map estimation in general function spaces
Vincent Divol
Jonathan Niles-Weed
Aram-Alexandre Pooladian
OT
273
25
0
07 Dec 2022
Estimating Regression Predictive Distributions with Sample Networks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Ali Harakeh
Jordan S. K. Hu
Naiqing Guan
Steven L. Waslander
Liam Paull
BDL
UQCV
108
5
0
24 Nov 2022
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
International Conference on Machine Learning (ICML), 2022
Marin Ballu
Quentin Berthet
359
8
0
18 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné
Gabriel Peyré
Franccois-Xavier Vialard
OT
295
61
0
16 Nov 2022
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Hyemin Gu
Panagiota Birmpa
Yannis Pantazis
Luc Rey-Bellet
Markos A. Katsoulakis
299
5
0
31 Oct 2022
Minimum Kernel Discrepancy Estimators
Chris J. Oates
270
10
0
28 Oct 2022
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport
David Alvarez-Melis
Nicolò Fusi
Lester W. Mackey
Tal Wagner
OT
225
1
0
24 Oct 2022
Partial Identification of Treatment Effects with Implicit Generative Models
Neural Information Processing Systems (NeurIPS), 2022
Vahid Balazadeh Meresht
Vasilis Syrgkanis
Rahul G. Krishnan
CML
204
20
0
14 Oct 2022
On the potential benefits of entropic regularization for smoothing Wasserstein estimators
Electronic Journal of Statistics (EJS), 2022
Jérémie Bigot
Paul Freulon
B. Hejblum
Arthur Leclaire
OT
297
2
0
13 Oct 2022
Gaussian Processes on Distributions based on Regularized Optimal Transport
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
François Bachoc
Louis Bethune
Alberto González Sanz
Jean-Michel Loubes
GP
OT
152
9
0
12 Oct 2022
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
Shraman Pramanick
Li Jing
Sayan Nag
Jiachen Zhu
Hardik Shah
Yann LeCun
Ramalingam Chellappa
314
26
0
09 Oct 2022
Improving Generative Flow Networks with Path Regularization
A. Do
Duy-Tung Dinh
T. Nguyen
Khuong N. Nguyen
Stanley Osher
Nhat Ho
AI4CE
156
4
0
29 Sep 2022
Hierarchical Sliced Wasserstein Distance
International Conference on Learning Representations (ICLR), 2022
Khai Nguyen
Zhaolin Ren
Huy Nguyen
Litu Rout
T. Nguyen
Nhat Ho
346
27
0
27 Sep 2022
Wasserstein
K
K
K
-means for clustering probability distributions
Neural Information Processing Systems (NeurIPS), 2022
Yubo Zhuang
Xiaohui Chen
Yun Yang
213
34
0
14 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences
Social Science Research Network (SSRN), 2022
S. Roy
Yan Han
Mehrtash Harandi
L. Petersson
155
1
0
14 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
European Conference on Computer Vision (ECCV), 2022
Zhenyi Wang
Li Shen
Le Fang
Qiuling Suo
Dongling Zhan
Tiehang Duan
Mingchen Gao
OOD
CLL
161
20
0
03 Sep 2022
Discovering Conservation Laws using Optimal Transport and Manifold Learning
Nature Communications (Nat Commun), 2022
Peter Y. Lu
Rumen Dangovski
M. Soljavcić
232
24
0
31 Aug 2022
Multiview Regenerative Morphing with Dual Flows
European Conference on Computer Vision (ECCV), 2022
Chih-Jung Tsai
Cheng Sun
Hwann-Tzong Chen
3DH
140
4
0
02 Aug 2022
The derivatives of Sinkhorn-Knopp converge
SIAM Journal on Optimization (SIAM J. Optim.), 2022
Edouard Pauwels
Samuel Vaiter
218
8
0
26 Jul 2022
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences
Alberto González Sanz
Jean-Michel Loubes
Jonathan Niles-Weed
OT
239
29
0
15 Jul 2022
Transferability-Guided Cross-Domain Cross-Task Transfer Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yang Tan
Enming Zhang
Yang Li
Shao-Lun Huang
Xiaoping Zhang
OT
336
17
0
12 Jul 2022
Multisymplectic Formulation of Deep Learning Using Mean--Field Type Control and Nonlinear Stability of Training Algorithm
Nader Ganaba
130
0
0
07 Jul 2022
Diffeomorphic Registration using Sinkhorn Divergences
SIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2022
Lucas de Lara
Alberto González Sanz
Jean-Michel Loubes
FedML
192
9
0
28 Jun 2022
On Certifying and Improving Generalization to Unseen Domains
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
OOD
227
5
0
24 Jun 2022
Approximating 1-Wasserstein Distance with Trees
M. Yamada
Yuki Takezawa
Ryoma Sato
Hang Bao
Zornitsa Kozareva
Sujith Ravi
330
11
0
24 Jun 2022
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