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1802.05570
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Optimal Transport: Fast Probabilistic Approximation with Exact Solvers
14 February 2018
Max Sommerfeld
Jörn Schrieber
Y. Zemel
Axel Munk
OT
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Papers citing
"Optimal Transport: Fast Probabilistic Approximation with Exact Solvers"
17 / 17 papers shown
Title
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Samuel Howard
Peter Potaptchik
George Deligiannidis
OT
112
0
0
20 Jun 2025
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
Yuu Jinnai
OT
99
0
0
29 May 2025
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights
Zeqin Yang
Weilin Chen
Ruichu Cai
Yuguang Yan
Zhifeng Hao
Zhipeng Yu
Zhichao Zou
Jixing Xu
Zhen Peng
Jiecheng Guo
220
3
0
27 Jun 2024
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
M. Khamlich
F. Pichi
G. Rozza
195
5
0
26 Aug 2023
Recent Advances in Optimal Transport for Machine Learning
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OOD
OT
166
57
0
28 Jun 2023
Meta Optimal Transport
Brandon Amos
Samuel N. Cohen
Giulia Luise
I. Redko
OT
183
27
0
10 Jun 2022
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity
Shayan Hundrieser
Thomas Staudt
Axel Munk
OT
105
28
0
21 Feb 2022
Universal Approximation Under Constraints is Possible with Transformers
Anastasis Kratsios
Behnoosh Zamanlooy
Tianlin Liu
Ivan Dokmanić
198
32
0
07 Oct 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras
Thibault Séjourné
Nicolas Courty
Rémi Flamary
OT
117
162
0
05 Mar 2021
Improving Approximate Optimal Transport Distances using Quantization
Gaspard Beugnot
Aude Genevay
Kristjan Greenewald
Justin Solomon
OT
MQ
499
11
0
25 Feb 2021
On Transportation of Mini-batches: A Hierarchical Approach
International Conference on Machine Learning (ICML), 2024
Khai Nguyen
Dang Nguyen
Quoc Nguyen
Tung Pham
Hung Bui
Dinh Q. Phung
Trung Le
Nhat Ho
OT
142
19
0
11 Feb 2021
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
156
63
0
05 Jan 2021
Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees
F. Heinemann
Axel Munk
Y. Zemel
110
18
0
11 Dec 2020
Representation Transfer by Optimal Transport
Xuhong Li
Yves Grandvalet
Rémi Flamary
Nicolas Courty
Dejing Dou
OT
87
8
0
13 Jul 2020
Learning with minibatch Wasserstein : asymptotic and gradient properties
Kilian Fatras
Younes Zine
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
174
100
0
09 Oct 2019
Empirical Regularized Optimal Transport: Statistical Theory and Applications
M. Klatt
Carla Tameling
Axel Munk
OT
151
64
0
23 Oct 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Edouard Grave
Armand Joulin
Quentin Berthet
143
204
0
29 May 2018
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