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Entropic Neural Optimal Transport via Diffusion Processes

Entropic Neural Optimal Transport via Diffusion Processes

2 November 2022
Nikita Gushchin
Alexander Kolesov
Alexander Korotin
Dmitry Vetrov
Evgeny Burnaev
    OT
    DiffM
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Papers citing "Entropic Neural Optimal Transport via Diffusion Processes"

35 / 35 papers shown
Title
Trajectory Inference with Smooth Schrödinger Bridges
Wanli Hong
Yuliang Shi
Jonathan Niles-Weed
29
0
0
01 Mar 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
Alexander Kolesov
Manukhov Stepan
Vladimir V. Palyulin
Alexander Korotin
48
0
0
04 Feb 2025
InfoBridge: Mutual Information estimation via Bridge Matching
InfoBridge: Mutual Information estimation via Bridge Matching
Sergei Kholkin
Ivan Butakov
E. Burnaev
Nikita Gushchin
Alexander Korotin
DiffM
FedML
45
0
0
03 Feb 2025
Categorical Schr\"odinger Bridge Matching
Categorical Schr\"odinger Bridge Matching
Grigoriy Ksenofontov
Alexander Korotin
56
0
0
03 Feb 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Milena Gazdieva
Jaemoo Choi
Alexander Kolesov
Jaewoong Choi
Petr Mokrov
Alexander Korotin
OT
39
0
0
04 Oct 2024
Scalable Simulation-free Entropic Unbalanced Optimal Transport
Scalable Simulation-free Entropic Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
OT
23
0
0
03 Oct 2024
Diffusion & Adversarial Schr\"odinger Bridges via Iterative Proportional Markovian Fitting
Diffusion & Adversarial Schr\"odinger Bridges via Iterative Proportional Markovian Fitting
Sergei Kholkin
Grigoriy Ksenofontov
David Li
Nikita Kornilov
Nikita Gushchin
Alexandra Suvorikova
Alexey Kroshnin
Evgeny Burnaev
Alexander Korotin
29
2
0
03 Oct 2024
Regularized Distribution Matching Distillation for One-step Unpaired
  Image-to-Image Translation
Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation
D. Rakitin
Ivan Shchekotov
Dmitry Vetrov
VLM
DiffM
31
0
0
20 Jun 2024
Generative Conditional Distributions by Neural (Entropic) Optimal
  Transport
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
Bao Nguyen
Binh Nguyen
Hieu Trung Nguyen
Viet Anh Nguyen
OT
42
1
0
04 Jun 2024
Schrödinger Bridge with Quadratic State Cost is Exactly Solvable
Schrödinger Bridge with Quadratic State Cost is Exactly Solvable
Alexis M. H. Teter
Wenqing Wang
Abhishek Halder
OT
39
5
0
01 Jun 2024
Adversarial Schrödinger Bridge Matching
Adversarial Schrödinger Bridge Matching
Nikita Gushchin
Daniil Selikhanovych
Sergei Kholkin
Evgeny Burnaev
Alexander Korotin
OT
DiffM
24
1
0
23 May 2024
Neural Shrödinger Bridge Matching for Pansharpening
Neural Shrödinger Bridge Matching for Pansharpening
Zihan Cao
Xiao Wu
Liang-Jian Deng
DiffM
53
2
0
17 Apr 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
Nikita Kornilov
Petr Mokrov
Alexander Gasnikov
Alexander Korotin
24
10
0
19 Mar 2024
Estimating Barycenters of Distributions with Neural Optimal Transport
Estimating Barycenters of Distributions with Neural Optimal Transport
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
E. Burnaev
Alexander Korotin
OT
21
5
0
06 Feb 2024
Entropic (Gromov) Wasserstein Flow Matching with GENOT
Entropic (Gromov) Wasserstein Flow Matching with GENOT
Dominik Klein
Théo Uscidda
Fabian J. Theis
Marco Cuturi
OT
13
3
0
13 Oct 2023
Light Schrödinger Bridge
Light Schrödinger Bridge
Alexander Korotin
Nikita Gushchin
Evgeny Burnaev
OT
11
4
0
02 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
OT
27
2
0
02 Oct 2023
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach
  Integrating Maximum Mean Discrepancy and Optimal Transport
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport
Zhe Xiong
Qiaoqiao Ding
Xiaoqun Zhang
OOD
6
0
0
26 Aug 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
Francisco Vargas
Shreyas Padhy
Denis Blessing
Nikolas Nusken
DiffM
OT
40
3
0
03 Jul 2023
Building the Bridge of Schrödinger: A Continuous Entropic Optimal
  Transport Benchmark
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
Nikita Gushchin
Alexander Kolesov
Petr Mokrov
Polina Karpikova
A. Spiridonov
Evgeny Burnaev
Alexander Korotin
OT
DiffM
29
15
0
16 Jun 2023
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Beomsu Kim
Gihyun Kwon
Kwanyoung Kim
Jong Chul Ye
DiffM
OT
31
53
0
24 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary
  Survey
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
38
12
0
08 May 2023
Energy-guided Entropic Neural Optimal Transport
Energy-guided Entropic Neural Optimal Transport
Petr Mokrov
Alexander Korotin
Alexander Kolesov
Nikita Gushchin
Evgeny Burnaev
OT
33
21
0
12 Apr 2023
Light Unbalanced Optimal Transport
Light Unbalanced Optimal Transport
Milena Gazdieva
Arip Asadulaev
Alexander Korotin
Evgeny Burnaev
OT
16
1
0
14 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Xavier Aramayo Carrasco
Maksim Nekrashevich
Petr Mokrov
Evgeny Burnaev
Alexander Korotin
OT
35
5
0
10 Mar 2023
Extremal Domain Translation with Neural Optimal Transport
Extremal Domain Translation with Neural Optimal Transport
Milena Gazdieva
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
11
11
0
30 Jan 2023
On amortizing convex conjugates for optimal transport
On amortizing convex conjugates for optimal transport
Brandon Amos
OT
70
27
0
21 Oct 2022
Neural Optimal Transport with General Cost Functionals
Neural Optimal Transport with General Cost Functionals
Arip Asadulaev
Alexander Korotin
Vage Egiazarian
Petr Mokrov
Evgeny Burnaev
OT
78
32
0
30 May 2022
Understanding DDPM Latent Codes Through Optimal Transport
Understanding DDPM Latent Codes Through Optimal Transport
Valentin Khrulkov
Gleb Ryzhakov
Andrei Chertkov
Ivan V. Oseledets
OT
DiffM
24
51
0
14 Feb 2022
Neural Optimal Transport
Neural Optimal Transport
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
124
88
0
28 Jan 2022
Variational Wasserstein gradient flow
Variational Wasserstein gradient flow
JiaoJiao Fan
Qinsheng Zhang
Amirhossein Taghvaei
Yongxin Chen
68
54
0
04 Dec 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs
  Theory
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
T. Chen
Guan-Horng Liu
Evangelos A. Theodorou
DiffM
OT
172
160
0
21 Oct 2021
Generative Modeling with Optimal Transport Maps
Generative Modeling with Optimal Transport Maps
Litu Rout
Alexander Korotin
Evgeny Burnaev
OT
DiffM
116
65
0
06 Oct 2021
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
109
100
0
28 Sep 2019
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
173
596
0
22 Sep 2016
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