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Flow Matching for Generative Modeling
v1v2 (latest)

Flow Matching for Generative Modeling

International Conference on Learning Representations (ICLR), 2022
6 October 2022
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
    OOD
ArXiv (abs)PDFHTMLHuggingFace (3 upvotes)

Papers citing "Flow Matching for Generative Modeling"

50 / 1,864 papers shown
InstaFlow: One Step is Enough for High-Quality Diffusion-Based
  Text-to-Image Generation
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image GenerationInternational Conference on Learning Representations (ICLR), 2023
Xingchao Liu
Xiwen Zhang
Jianzhu Ma
Jian Peng
Qiang Liu
585
308
0
12 Sep 2023
Revisiting Energy Based Models as Policies: Ranking Noise Contrastive
  Estimation and Interpolating Energy Models
Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models
Sumeet Singh
Stephen Tu
Vikas Sindhwani
DiffM
284
11
0
11 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery
  Likelihood
Learning Energy-Based Models by Cooperative Diffusion Recovery LikelihoodInternational Conference on Learning Representations (ICLR), 2023
Y. Zhu
Jianwen Xie
Yingnian Wu
Ruiqi Gao
DiffM
682
16
0
10 Sep 2023
VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching
VoiceFlow: Efficient Text-to-Speech with Rectified Flow MatchingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yiwei Guo
Chenpeng Du
Ziyang Ma
Xie Chen
K. Yu
DiffM
264
61
0
10 Sep 2023
Matcha-TTS: A fast TTS architecture with conditional flow matching
Matcha-TTS: A fast TTS architecture with conditional flow matchingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Shivam Mehta
Ruibo Tu
Jonas Beskow
Éva Székely
G. Henter
304
175
0
06 Sep 2023
Distribution learning via neural differential equations: a nonparametric
  statistical perspective
Distribution learning via neural differential equations: a nonparametric statistical perspectiveJournal of machine learning research (JMLR), 2023
Youssef Marzouk
Zhi Ren
Sven Wang
Jakob Zech
222
18
0
03 Sep 2023
RetroBridge: Modeling Retrosynthesis with Markov Bridges
RetroBridge: Modeling Retrosynthesis with Markov BridgesInternational Conference on Learning Representations (ICLR), 2023
Ilia Igashov
Arne Schneuing
Marwin H. S. Segler
Michael M. Bronstein
B. Correia
330
26
0
30 Aug 2023
Diffusion Schrödinger Bridges for Bayesian Computation
Diffusion Schrödinger Bridges for Bayesian Computation
J. Heng
Valentin De Bortoli
Arnaud Doucet
DiffM
160
3
0
27 Aug 2023
Sampling with flows, diffusion and autoregressive neural networks: A
  spin-glass perspective
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspectiveProceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
Davide Ghio
Yatin Dandi
Florent Krzakala
Lenka Zdeborová
DiffM
250
38
0
27 Aug 2023
SE(3) Equivariant Augmented Coupling Flows
SE(3) Equivariant Augmented Coupling FlowsNeural Information Processing Systems (NeurIPS), 2023
Laurence I. Midgley
Vincent Stimper
Javier Antorán
Emile Mathieu
Bernhard Schölkopf
José Miguel Hernández-Lobato
437
39
0
20 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
227
11
0
04 Aug 2023
Improved Order Analysis and Design of Exponential Integrator for
  Diffusion Models Sampling
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling
Qinsheng Zhang
Jiaming Song
Yongxin Chen
DiffM
182
15
0
04 Aug 2023
Training Data Protection with Compositional Diffusion Models
Training Data Protection with Compositional Diffusion Models
Aditya Golatkar
Alessandro Achille
A. Swaminathan
Stefano Soatto
DiffM
218
13
0
02 Aug 2023
Flow Matching in Latent Space
Flow Matching in Latent Space
Quan Dao
Hao Phung
Binh Duc Nguyen
Anh Tran
355
107
0
17 Jul 2023
Simulation-free Schrödinger bridges via score and flow matching
Simulation-free Schrödinger bridges via score and flow matchingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alexander Tong
Nikolay Malkin
Kilian Fatras
Lazar Atanackovic
Yanlei Zhang
G. Huguet
Guy Wolf
Yoshua Bengio
DiffMOT
318
59
0
07 Jul 2023
Safe Screening for Unbalanced Optimal Transport
Safe Screening for Unbalanced Optimal Transport
Xun Su
Zhongxi Fang
Hiroyuki Kasai
OT
252
0
0
01 Jul 2023
Equivariant flow matching
Equivariant flow matchingNeural Information Processing Systems (NeurIPS), 2023
Leon Klein
Andreas Krämer
Frank Noé
291
114
0
26 Jun 2023
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Voicebox: Text-Guided Multilingual Universal Speech Generation at ScaleNeural Information Processing Systems (NeurIPS), 2023
Matt Le
Apoorv Vyas
Bowen Shi
Brian Karrer
Leda Sari
...
Mary Williamson
Vimal Manohar
Yossi Adi
Jay Mahadeokar
Wei-Ning Hsu
AuLLM
297
425
0
23 Jun 2023
A Systematic Survey in Geometric Deep Learning for Structure-based Drug
  Design
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design
Zaixin Zhang
Jiaxian Yan
Qi Liu
Enhong Chen
Marinka Zitnik
388
2
0
20 Jun 2023
Unbalanced Diffusion Schrödinger Bridge
Unbalanced Diffusion Schrödinger Bridge
Matteo Pariset
Ya-Ping Hsieh
Charlotte Bunne
Andreas Krause
Valentin De Bortoli
DiffMOT
231
9
0
15 Jun 2023
Fast Diffusion Model
Fast Diffusion Model
Zike Wu
Pan Zhou
Kenji Kawaguchi
Hanwang Zhang
DiffM
338
27
0
12 Jun 2023
On Kinetic Optimal Probability Paths for Generative Models
On Kinetic Optimal Probability Paths for Generative ModelsInternational Conference on Machine Learning (ICML), 2023
Neta Shaul
Ricky T. Q. Chen
Maximilian Nickel
Matt Le
Y. Lipman
OT
188
36
0
11 Jun 2023
BOOT: Data-free Distillation of Denoising Diffusion Models with
  Bootstrapping
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping
Jiatao Gu
Shuangfei Zhai
Yizhe Zhang
Lingjie Liu
J. Susskind
DiffM
213
94
0
08 Jun 2023
Causal normalizing flows: from theory to practice
Causal normalizing flows: from theory to practiceNeural Information Processing Systems (NeurIPS), 2023
Adrián Javaloy
Pablo Sánchez-Martín
Isabel Valera
TPMCMLAI4CE
396
38
0
08 Jun 2023
Interpreting and Improving Diffusion Models from an Optimization
  Perspective
Interpreting and Improving Diffusion Models from an Optimization PerspectiveInternational Conference on Machine Learning (ICML), 2023
Frank Permenter
Chenyang Yuan
DiffM
330
11
0
08 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A SurveyPattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
624
79
0
07 Jun 2023
Faster Training of Diffusion Models and Improved Density Estimation via
  Parallel Score Matching
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching
Etrit Haxholli
Marco Lorenzi
DiffM
74
3
0
05 Jun 2023
Functional Flow Matching
Functional Flow MatchingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Gavin Kerrigan
Giosue Migliorini
Padhraic Smyth
360
30
0
26 May 2023
Flow Matching for Scalable Simulation-Based Inference
Flow Matching for Scalable Simulation-Based InferenceNeural Information Processing Systems (NeurIPS), 2023
Maximilian Dax
J. Wildberger
Simon Buchholz
Stephen R. Green
Jakob H. Macke
Bernhard Schölkopf
170
94
0
26 May 2023
Error Bounds for Flow Matching Methods
Error Bounds for Flow Matching Methods
Joe Benton
George Deligiannidis
Arnaud Doucet
DiffM
265
63
0
26 May 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to
  Wasserstein Barycenters
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein BarycentersNeural Information Processing Systems (NeurIPS), 2023
Maxence Noble
Valentin De Bortoli
Arnaud Doucet
Alain Durmus
DiffMOT
310
11
0
26 May 2023
Computing high-dimensional optimal transport by flow neural networks
Computing high-dimensional optimal transport by flow neural networksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Chen Xu
Xiuyuan Cheng
Yao Xie
OT
621
7
0
19 May 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation
  In the Wild
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the WildNeural Information Processing Systems (NeurIPS), 2023
Can Qin
Shu Zhen Zhang
Ning Yu
Yihao Feng
Xinyi Yang
...
Caiming Xiong
Silvio Savarese
Stefano Ermon
Yun Fu
Ran Xu
437
200
0
18 May 2023
Sampling, Diffusions, and Stochastic Localization
Sampling, Diffusions, and Stochastic Localization
Andrea Montanari
DiffM
163
37
0
18 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsInternational Conference on Machine Learning (ICML), 2023
Kaiwen Zheng
Cheng Lu
Jianfei Chen
Jun Zhu
DiffM
369
49
0
06 May 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Multisample Flow Matching: Straightening Flows with Minibatch CouplingsInternational Conference on Machine Learning (ICML), 2023
Aram-Alexandre Pooladian
Heli Ben-Hamu
Carles Domingo-Enrich
Brandon Amos
Y. Lipman
Ricky T. Q. Chen
360
204
0
28 Apr 2023
Accurate transition state generation with an object-aware equivariant
  elementary reaction diffusion model
Accurate transition state generation with an object-aware equivariant elementary reaction diffusion modelNature Computational Science (Nat. Comput. Sci.), 2023
Chenru Duan
Yuanqi Du
Haojun Jia
Heather J. Kulik
DiffM
326
72
0
12 Apr 2023
GenPhys: From Physical Processes to Generative Models
GenPhys: From Physical Processes to Generative Models
Ziming Liu
Di Luo
Yilun Xu
Tommi Jaakkola
M. Tegmark
AI4CE
220
21
0
05 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
464
113
0
29 Mar 2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for
  Image Restoration
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
M. Delbracio
P. Milanfar
DiffM
576
164
0
20 Mar 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
DiffM
1.1K
562
0
15 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field
  Construction
Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Weiyang Jin
Yongpei Zhu
Yuxi Peng
DiffM
121
0
0
14 Mar 2023
Light Unbalanced Optimal Transport
Light Unbalanced Optimal TransportNeural Information Processing Systems (NeurIPS), 2023
Milena Gazdieva
Arip Asadulaev
Alexander Korotin
Evgeny Burnaev
OT
397
2
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
508
7
0
10 Mar 2023
Streaming Kernel PCA Algorithm With Small Space
Streaming Kernel PCA Algorithm With Small Space
Yichuan Deng
Zhao Song
Zifan Wang
Hangke Zhang
324
5
0
08 Mar 2023
A Complete Recipe for Diffusion Generative Models
A Complete Recipe for Diffusion Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Kushagra Pandey
Stephan Mandt
DiffM
207
12
0
03 Mar 2023
Understanding Diffusion Objectives as the ELBO with Simple Data
  Augmentation
Understanding Diffusion Objectives as the ELBO with Simple Data AugmentationNeural Information Processing Systems (NeurIPS), 2023
Diederik P. Kingma
Ruiqi Gao
DiffM
743
238
0
01 Mar 2023
I$^2$SB: Image-to-Image Schrödinger Bridge
I2^22SB: Image-to-Image Schrödinger BridgeInternational Conference on Machine Learning (ICML), 2023
Guan-Horng Liu
Arash Vahdat
De-An Huang
Evangelos A. Theodorou
Weili Nie
Anima Anandkumar
DiffM
272
218
0
12 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models
Star-Shaped Denoising Diffusion Probabilistic ModelsNeural Information Processing Systems (NeurIPS), 2023
Andrey Okhotin
Dmitry Molchanov
V. Arkhipkin
Grigory Bartosh
Viktor Ohanesian
Aibek Alanov
Dmitry Vetrov
DiffM
256
17
0
10 Feb 2023
Flow Matching on General Geometries
Flow Matching on General GeometriesInternational Conference on Learning Representations (ICLR), 2023
Ricky T. Q. Chen
Y. Lipman
AI4CE
445
141
0
07 Feb 2023
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