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 / 103 papers shown

Title
Dequantified Diffusion-Schr{ö}dinger Bridge for Density Ratio Estimation Wei Chen Shigui Li Jiacheng Li Junmei Yang John Paisley Delu Zeng DiffM OT 71 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 50 0 0 06 May 2025
Capturing Conditional Dependence via Auto-regressive Diffusion Models Xunpeng Huang Yujin Han Difan Zou Yian Ma Tong Zhang DiffM 61 0 0 30 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 206 2 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 172 1 0 14 Apr 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 74 29 0 13 Mar 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 87 2 0 20 Feb 2025
Conditional sampling within generative diffusion models Zheng Zhao Ziwei Luo Jens Sjölund Thomas B. Schon DiffM VLM 73 3 0 20 Feb 2025
Neural Guided Diffusion Bridges Gefan Yang Frank van der Meulen Stefan Sommer DiffM 58 0 0 17 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 100 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 109 0 0 04 Feb 2025
Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising Diffusions Soren Christensen C. Strauch Lukas Trottner DiffM 103 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 103 4 0 28 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 59 2 0 13 Jan 2025
On the Mode-Seeking Properties of Langevin Dynamics Xiwei Cheng Kexin Fu Farzan Farnia 67 0 0 08 Jan 2025
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance Marta Gentiloni-Silveri Antonio Ocello 40 2 0 04 Jan 2025
DPBridge: Latent Diffusion Bridge for Dense Prediction Haorui Ji Taojun Lin Hongdong Li DiffM 56 1 0 29 Dec 2024
Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces Nianze Tao OOD OODD BDL 108 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 46 0 0 04 Oct 2024
NETS: A Non-Equilibrium Transport Sampler M. S. Albergo Eric Vanden-Eijnden DiffM 50 9 0 03 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Zhenyi Zhang Tiejun Li Peijie Zhou OT 149 9 0 01 Oct 2024
$BM$^2$: Coupled Schr\"{o}dinger Bridge Matching$ BM $^2$ : Coupled Schr\"{o}dinger Bridge Matching Stefano Peluchetti OT 36 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 52 6 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 37 22 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 63 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 36 1 0 28 Jun 2024
Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review Davide Carbone 38 1 0 19 Jun 2024
Convergence of the denoising diffusion probabilistic models for general noise schedules Yumiharu Nakano DiffM 49 0 0 03 Jun 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park Jungwon Choi Sungbin Lim Juho Lee 50 3 0 31 May 2024
Gaussian Flow Bridges for Audio Domain Transfer with Unpaired Data Eloi Moliner Sebastian Braun H. Gamper OT 50 2 0 29 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 44 2 0 27 May 2024
Diffusion Bridge Implicit Models Kaiwen Zheng Guande He Jianfei Chen Fan Bao Jun Zhu DiffM 84 13 0 24 May 2024
Conditioning diffusion models by explicit forward-backward bridging Adrien Corenflos Zheng Zhao Simo Särkkä Jens Sjölund Thomas B. Schon DiffM 58 5 0 22 May 2024
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 36 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 48 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 43 27 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 40 41 0 09 Feb 2024
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances Xuefeng Gao Lingjiong Zhu 38 20 0 31 Jan 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling Wei Deng Yu Chen Nicole Tianjiao Yang Hengrong Du Qi Feng Ricky T. Q. Chen 29 7 0 06 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 40 1 0 05 Jan 2024
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design Kieran Didi Francisco Vargas Simon Mathis Vincent Dutordoir Emile Mathieu Urszula Julia Komorowska Pietro Lio DiffM 34 14 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 33 4 0 22 Nov 2023
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 98 9 0 19 Oct 2023
A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu Alireza Makhzani OT 44 21 0 16 Oct 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 39 9 0 11 Oct 2023
Stochastic interpolants with data-dependent couplings M. S. Albergo Mark Goldstein Nicholas M. Boffi Rajesh Ranganath Eric Vanden-Eijnden OT 30 30 0 05 Oct 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 36 4 0 02 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 49 2 0 02 Oct 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 34 2 0 03 Sep 2023