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Diffusion Schrödinger Bridge Matching

Diffusion Schrödinger Bridge Matching

29 March 2023
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
    DiffM
    OT
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Papers citing "Diffusion Schrödinger Bridge Matching"

50 / 64 papers shown
Title
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo
Michelle Adeline
Julia Kaiwen Lau
Fang Yu Leong
Hwa Hui Tew
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
BDL
49
0
0
22 Apr 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron J. Havens
Benjamin Kurt Miller
Bing Yan
Carles Domingo-Enrich
Anuroop Sriram
...
Brandon Amos
Brian Karrer
Xiang Fu
Guan-Horng Liu
Ricky T. Q. Chen
DiffM
43
0
0
16 Apr 2025
Efficient Generative Model Training via Embedded Representation Warmup
Efficient Generative Model Training via Embedded Representation Warmup
Deyuan Liu
Peng Sun
Xufeng Li
Tao Lin
19
0
0
14 Apr 2025
FlowTok: Flowing Seamlessly Across Text and Image Tokens
FlowTok: Flowing Seamlessly Across Text and Image Tokens
Ju He
Qihang Yu
Qihao Liu
Liang-Chieh Chen
60
0
0
13 Mar 2025
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion Models
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
61
29
0
13 Mar 2025
Temporal Difference Flows
Jesse Farebrother
Matteo Pirotta
Andrea Tirinzoni
Rémi Munos
A. Lazaric
Ahmed Touati
AI4TS
AIFin
45
0
0
12 Mar 2025
Optimal Stochastic Trace Estimation in Generative Modeling
Optimal Stochastic Trace Estimation in Generative Modeling
Xinyang Liu
Hengrong Du
Wei Deng
Ruqi Zhang
AI4TS
37
0
0
26 Feb 2025
Conditional sampling within generative diffusion models
Conditional sampling within generative diffusion models
Zheng Zhao
Ziwei Luo
Jens Sjölund
Thomas B. Schon
DiffM
VLM
71
3
0
20 Feb 2025
Neural Guided Diffusion Bridges
Neural Guided Diffusion Bridges
Gefan Yang
Frank van der Meulen
Stefan Sommer
DiffM
46
0
0
17 Feb 2025
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
Yiheng Zhu
Jialu Wu
Q. Li
Jiahuan Yan
Mingze Yin
Wei Yu Wu
Mingyang Li
Jieping Ye
Z. Wang
J. Wu
29
1
0
04 Nov 2024
Bridging Geometric States via Geometric Diffusion Bridge
Bridging Geometric States via Geometric Diffusion Bridge
Shengjie Luo
Yixian Xu
Di He
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
27
0
0
31 Oct 2024
Consistency Diffusion Bridge Models
Consistency Diffusion Bridge Models
Guande He
Kaiwen Zheng
Jianfei Chen
Fan Bao
Jun-Jie Zhu
DiffM
43
2
0
30 Oct 2024
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Xi Zhang
Yuan Pu
Yuki Kawamura
Andrew Loza
Yoshua Bengio
Dennis L. Shung
Alexander Tong
OOD
AI4TS
MedIm
18
2
0
28 Oct 2024
Your Image is Secretly the Last Frame of a Pseudo Video
Your Image is Secretly the Last Frame of a Pseudo Video
Wenlong Chen
Wenlin Chen
Lapo Rastrelli
Yingzhen Li
DiffM
VGen
22
0
0
26 Oct 2024
Generalized Flow Matching for Transition Dynamics Modeling
Generalized Flow Matching for Transition Dynamics Modeling
Haibo Wang
Yuxuan Qiu
Yanze Wang
Rob Brekelmans
Yuanqi Du
18
1
0
19 Oct 2024
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Xingzhi Sun
Danqi Liao
Kincaid MacDonald
Yanlei Zhang
Chen Liu
Guillaume Huguet
Guy Wolf
Ian M. Adelstein
Tim G. J. Rudner
Smita Krishnaswamy
36
2
0
16 Oct 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition
  Path Sampling
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
Yuanqi Du
Michael Plainer
Rob Brekelmans
Chenru Duan
Frank Noé
Carla P. Gomes
Alán Aspuru-Guzik
Kirill Neklyudov
26
9
0
10 Oct 2024
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
16
0
0
04 Oct 2024
Stochastic Sampling from Deterministic Flow Models
Stochastic Sampling from Deterministic Flow Models
Saurabh Singh
Ian S. Fischer
21
2
0
03 Oct 2024
Entropy, concentration, and learning: a statistical mechanics primer
Entropy, concentration, and learning: a statistical mechanics primer
Akshay Balsubramani
AI4CE
22
1
0
27 Sep 2024
CUNSB-RFIE: Context-aware Unpaired Neural Schr"{o}dinger Bridge in
  Retinal Fundus Image Enhancement
CUNSB-RFIE: Context-aware Unpaired Neural Schr"{o}dinger Bridge in Retinal Fundus Image Enhancement
Xuanzhao Dong
Vamsi Krishna Vasa
Wenhui Zhu
Peijie Qiu
Xiwen Chen
Yi Su
Yujian Xiong
Zhangsihao Yang
Yanxi Chen
Yalin Wang
MedIm
27
1
0
17 Sep 2024
BM$^2$: Coupled Schr\"{o}dinger Bridge Matching
BM2^22: Coupled Schr\"{o}dinger Bridge Matching
Stefano Peluchetti
OT
19
0
0
14 Sep 2024
Theoretical guarantees in KL for Diffusion Flow Matching
Theoretical guarantees in KL for Diffusion Flow Matching
Marta Gentiloni Silveri
Giovanni Conforti
Alain Durmus
24
2
0
12 Sep 2024
Several questions of visual generation in 2024
Several questions of visual generation in 2024
Shuyang Gu
22
1
0
11 Jul 2024
Bisimulation Metrics are Optimal Transport Distances, and Can be
  Computed Efficiently
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
Sergio Calo
Anders Jonsson
Gergely Neu
Ludovic Schwartz
Javier Segovia
OT
14
1
0
06 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
2
0
01 Jun 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Byoungwoo Park
Jungwon Choi
Sungbin Lim
Juho Lee
43
3
0
31 May 2024
Diffusion Bridge Implicit Models
Diffusion Bridge Implicit Models
Kaiwen Zheng
Guande He
Jianfei Chen
Fan Bao
Jun Zhu
DiffM
68
13
0
24 May 2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold
Metric Flow Matching for Smooth Interpolations on the Data Manifold
Kacper Kapusniak
Peter Potaptchik
Teodora Reu
Leo Zhang
Alexander Tong
Michael M. Bronstein
A. Bose
Francesco Di Giovanni
28
11
0
23 May 2024
Adversarial Schrödinger Bridge Matching
Adversarial Schrödinger Bridge Matching
Nikita Gushchin
Daniil Selikhanovych
Sergei Kholkin
Evgeny Burnaev
Alexander Korotin
OT
DiffM
16
1
0
23 May 2024
Control, Transport and Sampling: Towards Better Loss Design
Control, Transport and Sampling: Towards Better Loss Design
Qijia Jiang
David Nabergoj
OT
22
0
0
22 May 2024
Conditioning diffusion models by explicit forward-backward bridging
Conditioning diffusion models by explicit forward-backward bridging
Adrien Corenflos
Zheng Zhao
Simo Särkkä
Jens Sjölund
Thomas B. Schon
DiffM
41
5
0
22 May 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved
  Diffusion Modelling
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Grigory Bartosh
Dmitry Vetrov
C. A. Naesseth
DiffM
16
7
0
19 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
16
10
0
19 Mar 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable
  Interpolant Transformers
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
Nanye Ma
Mark Goldstein
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
Saining Xie
DiffM
13
163
0
16 Jan 2024
Diffusion Models With Learned Adaptive Noise
Diffusion Models With Learned Adaptive Noise
S. Sahoo
Aaron Gokaslan
Christopher De Sa
Volodymyr Kuleshov
DiffM
13
8
0
20 Dec 2023
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
Conghan Yue
Zhengwei Peng
Junlong Ma
Shiyan Du
Pengxu Wei
Dongyu Zhang
DiffM
19
12
0
16 Dec 2023
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis
Zehua Chen
Guande He
Kaiwen Zheng
Xu Tan
Jun Zhu
DiffM
30
9
0
06 Dec 2023
Augmented Bridge Matching
Augmented Bridge Matching
Valentin De Bortoli
Guan-Horng Liu
Tianrong Chen
Evangelos A. Theodorou
Weilie Nie
38
10
0
12 Nov 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion
  Processes
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Jaehyeong Jo
Sung Ju Hwang
DiffM
9
8
0
11 Oct 2023
The Emergence of Reproducibility and Generalizability in Diffusion
  Models
The Emergence of Reproducibility and Generalizability in Diffusion Models
Huijie Zhang
Jinfan Zhou
Yifu Lu
Minzhe Guo
Peng Wang
Liyue Shen
Qing Qu
DiffM
15
2
0
08 Oct 2023
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
A. Bose
Tara Akhound-Sadegh
Guillaume Huguet
Kilian Fatras
Jarrid Rector-Brooks
Cheng-Hao Liu
A. Nica
Maksym Korablyov
Michael M. Bronstein
Alexander Tong
DiffM
22
71
0
03 Oct 2023
Generalized Schrödinger Bridge Matching
Generalized Schrödinger Bridge Matching
Guan-Horng Liu
Y. Lipman
Maximilian Nickel
Brian Karrer
Evangelos A. Theodorou
Ricky T. Q. Chen
DiffM
14
6
0
03 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
20
2
0
02 Oct 2023
Denoising Diffusion Bridge Models
Denoising Diffusion Bridge Models
Linqi Zhou
Aaron Lou
Samar Khanna
Stefano Ermon
DiffM
17
61
0
29 Sep 2023
Diffusion Schrödinger Bridges for Bayesian Computation
Diffusion Schrödinger Bridges for Bayesian Computation
J. Heng
Valentin De Bortoli
Arnaud Doucet
DiffM
15
3
0
27 Aug 2023
Simulation-free Schrödinger bridges via score and flow matching
Simulation-free Schrödinger bridges via score and flow matching
Alexander Tong
Nikolay Malkin
Kilian Fatras
Lazar Atanackovic
Yanlei Zhang
G. Huguet
Guy Wolf
Yoshua Bengio
DiffM
OT
22
26
0
07 Jul 2023
Unbalanced Diffusion Schrödinger Bridge
Unbalanced Diffusion Schrödinger Bridge
Matteo Pariset
Ya-Ping Hsieh
Charlotte Bunne
Andreas Krause
Valentin De Bortoli
DiffM
OT
8
2
0
15 Jun 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to
  Wasserstein Barycenters
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters
Maxence Noble
Valentin De Bortoli
Arnaud Doucet
Alain Durmus
DiffM
OT
19
7
0
26 May 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
18
23
0
24 May 2023
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