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Deep Momentum Multi-Marginal Schrödinger Bridge
v1v2v3 (latest)

Deep Momentum Multi-Marginal Schrödinger Bridge

3 March 2023
T. Chen
Guan-Horng Liu
Molei Tao
Evangelos A. Theodorou
ArXiv (abs)PDFHTMLGithub

Papers citing "Deep Momentum Multi-Marginal Schrödinger Bridge"

16 / 16 papers shown
Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
Byoungwoo Park
Juho Lee
Guan-Horng Liu
243
2
0
09 Nov 2025
GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models
GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models
Peter Holderrieth
Uriel Singer
Tommi Jaakkola
Ricky T. Q. Chen
Y. Lipman
Brian Karrer
DiffM
267
3
0
29 Sep 2025
Optimal Multimarginal Schrödinger Bridge: Minimum Spanning Tree over Measure-valued Vertices
Optimal Multimarginal Schrödinger Bridge: Minimum Spanning Tree over Measure-valued Vertices
Georgiy A. Bondar
Abhishek Halder
OT
283
1
0
12 Sep 2025
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
Justin Lee
Behnaz Moradijamei
Heman Shakeri
186
9
0
06 Aug 2025
TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
Tianrong Chen
Huangjie Zheng
David Berthelot
Jiatao Gu
J. Susskind
Shuangfei Zhai
DiffM
236
1
0
26 Jun 2025
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Samuel Howard
Peter Potaptchik
George Deligiannidis
OT
484
2
0
20 Jun 2025
Branched Schrödinger Bridge Matching
Sophia Tang
Yinuo Zhang
Alexander Tong
Pranam Chatterjee
381
2
0
10 Jun 2025
Trajectory Inference with Smooth Schrödinger Bridges
Trajectory Inference with Smooth Schrödinger Bridges
Wanli Hong
Yuliang Shi
Jonathan Niles-Weed
288
7
0
01 Mar 2025
Control, Transport and Sampling: Towards Better Loss Design
Control, Transport and Sampling: Towards Better Loss Design
Qijia Jiang
David Nabergoj
OT
239
0
0
22 May 2024
Quantum State Generation with Structure-Preserving Diffusion Model
Quantum State Generation with Structure-Preserving Diffusion Model
Yuchen Zhu
Tianrong Chen
Evangelos A. Theodorou
Xie Chen
Molei Tao
DiffM
306
11
0
09 Apr 2024
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with
  Population-Level Regularization
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization
Yuning You
Ruida Zhou
Yang Shen
208
2
0
04 Feb 2024
A Computational Framework for Solving Wasserstein Lagrangian Flows
A Computational Framework for Solving Wasserstein Lagrangian FlowsInternational Conference on Machine Learning (ICML), 2023
Kirill Neklyudov
Rob Brekelmans
Alexander Tong
Lazar Atanackovic
Qiang Liu
Alireza Makhzani
OT
543
41
0
16 Oct 2023
Generative Modeling with Phase Stochastic Bridges
Generative Modeling with Phase Stochastic BridgesInternational Conference on Learning Representations (ICLR), 2023
Tianrong Chen
Jiatao Gu
Laurent Dinh
Evangelos A. Theodorou
J. Susskind
Shuangfei Zhai
DiffM
436
24
0
11 Oct 2023
Generative modeling for time series via Schr{ö}dinger bridge
Generative modeling for time series via Schr{ö}dinger bridgeSocial Science Research Network (SSRN), 2023
Mohamed Hamdouche
P. Henry-Labordère
H. Pham
AI4TSDiffMOT
269
23
0
11 Apr 2023
Diffusion Schrödinger Bridge Matching
Diffusion Schrödinger Bridge MatchingNeural Information Processing Systems (NeurIPS), 2023
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
DiffMOT
607
124
0
29 Mar 2023
Proximal Mean Field Learning in Shallow Neural Networks
Proximal Mean Field Learning in Shallow Neural Networks
Alexis M. H. Teter
Iman Nodozi
A. Halder
FedML
312
1
0
25 Oct 2022
1
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