Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling

1 June 2021

Papers citing "Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling"

50 / 73 papers shown

Title
Dequantified Diffusion Schrödinger Bridge for Density Ratio Estimation Wei-Neng Chen Shigui Li J. Li Junmei Yang John Paisley Delu Zeng DiffM OT 64 0 0 08 May 2025
Efficient Flow Matching using Latent Variables Anirban Samaddar Yixuan Sun Viktor Nilsson Sandeep Madireddy 46 0 0 07 May 2025
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients Stefano Bruno Sotirios Sabanis DiffM 41 0 0 06 May 2025
Capturing Conditional Dependence via Auto-regressive Diffusion Models Xunpeng Huang Yujin Han Difan Zou Yian Ma Tong Zhang DiffM 56 0 0 30 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 101 1 0 16 Apr 2025
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models Hao Ren Yiming Zeng Zetong Bi Zhaoliang Wan Junlong Huang Hui Cheng 87 1 0 14 Apr 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 64 29 0 13 Mar 2025
Conditional sampling within generative diffusion models Zheng Zhao Ziwei Luo Jens Sjölund Thomas B. Schon DiffM VLM 73 3 0 20 Feb 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 77 2 0 20 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 93 0 0 13 Feb 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization Yixiao Chen Shikun Sun Jianshu Li Ruoyu Li Zhe Li Junliang Xing AAML 96 0 0 04 Feb 2025
Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising Diffusions Soren Christensen C. Strauch Lukas Trottner DiffM 93 0 0 31 Jan 2025
An analysis of the noise schedule for score-based generative models SU StanislasStrasman Antonio Ocello Claire Boyer Lpsm Sylvain Le Corff Lpsm Vincent Lemaire DiffM 85 4 0 28 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 52 2 0 13 Jan 2025
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance Marta Gentiloni-Silveri Antonio Ocello 33 2 0 04 Jan 2025
DPBridge: Latent Diffusion Bridge for Dense Prediction Haorui Ji Taojun Lin Hongdong Li DiffM 46 1 0 29 Dec 2024
Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces Nianze Tao OOD OODD BDL 95 0 0 16 Dec 2024
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
NETS: A Non-Equilibrium Transport Sampler M. S. Albergo Eric Vanden-Eijnden DiffM 43 7 0 03 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Zhenyi Zhang Tiejun Li Peijie Zhou OT 141 5 0 01 Oct 2024
$BM$^2$: Coupled Schr\"{o}dinger Bridge Matching$ BM $^2$ : Coupled Schr\"{o}dinger Bridge Matching Stefano Peluchetti OT 26 0 0 14 Sep 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 31 5 0 26 Aug 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 33 21 0 05 Aug 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 48 7 0 01 Aug 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 32 1 0 28 Jun 2024
Convergence of the denoising diffusion probabilistic models for general noise schedules Yumiharu Nakano DiffM 47 0 0 03 Jun 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park Jungwon Choi Sungbin Lim Juho Lee 45 3 0 31 May 2024
Gaussian Flow Bridges for Audio Domain Transfer with Unpaired Data Eloi Moliner Sebastian Braun H. Gamper OT 36 2 0 29 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 42 2 0 27 May 2024
Conditioning diffusion models by explicit forward-backward bridging Adrien Corenflos Zheng Zhao Simo Särkkä Jens Sjölund Thomas B. Schon DiffM 48 5 0 22 May 2024
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 28 8 0 03 May 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 31 0 0 05 Mar 2024
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping Jianbin Zheng Minghui Hu Zhongyi Fan Chaoyue Wang Changxing Ding Dacheng Tao Tat-Jen Cham 35 26 0 29 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 32 41 0 09 Feb 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling Wei Deng Yu Chen Nicole Tianjiao Yang Hengrong Du Qi Feng Ricky T. Q. Chen 21 7 0 06 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 30 1 0 05 Jan 2024
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design Kieran Didi Francisco Vargas Simon V. Mathis Vincent Dutordoir Emile Mathieu U. J. Komorowska Pietro Lió DiffM 32 13 0 14 Dec 2023
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates Stefano Bruno Ying Zhang Dong-Young Lim Ömer Deniz Akyildiz Sotirios Sabanis DiffM 27 4 0 22 Nov 2023
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 90 9 0 19 Oct 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 27 9 0 11 Oct 2023
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
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 29 2 0 03 Sep 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 24 2 0 31 Jul 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 33 2 0 20 Jul 2023
Improved sampling via learned diffusions Lorenz Richter Julius Berner DiffM 24 52 0 03 Jul 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 19 2 0 25 Apr 2023
Generative modeling for time series via Schr{ö}dinger bridge Mohamed Hamdouche P. Henry-Labordère H. Pham AI4TS DiffM OT 23 11 0 11 Apr 2023
$$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States$ $\infty$ -Diff: Infinite Resolution Diffusion with Subsampled Mollified States Sam Bond-Taylor Chris G. Willcocks 32 15 0 31 Mar 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 51 65 0 29 Mar 2023
Deep Momentum Multi-Marginal Schrödinger Bridge T. Chen Guan-Horng Liu Molei Tao Evangelos A. Theodorou 20 9 0 03 Mar 2023