A Variational Perspective on Diffusion-Based Generative Models and Score Matching

5 June 2021

Aaron Courville

Papers citing "A Variational Perspective on Diffusion-Based Generative Models and Score Matching"

46 / 46 papers shown

Title
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 62 0 0 20 Feb 2025
Robust Guided Diffusion for Offline Black-Box Optimization Can Chen Christopher Beckham Xue Liu Xue Liu OffRL 43 5 0 03 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 62 0 0 03 Jan 2025
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 42 9 0 03 Oct 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 41 5 0 06 Aug 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images? Alexander Vilesov Yuan Tian Nader Sehatbakhsh A. Kadambi 29 0 0 04 Jul 2024
Design Editing for Offline Model-based Optimization Ye Yuan Youyuan Zhang Can Chen Haolun Wu Zixuan Li Jianmo Li James J. Clark Xue Liu 31 4 0 22 May 2024
S $Ω$ I: Score-based O-INFORMATION Estimation Mustapha Bounoua Giulio Franzese Pietro Michiardi 21 1 0 08 Feb 2024
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 35 60 0 17 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 21 3 0 05 Jul 2023
Improved sampling via learned diffusions Lorenz Richter Julius Berner DiffM 29 52 0 03 Jul 2023
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models Tomer Amit Shmuel Shichrur Tal Shaharabany Lior Wolf MedIm DiffM 32 10 0 15 Jun 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 26 30 0 28 May 2023
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders Hao Shi Kazuki Shimada M. Hirano Takashi Shibuya Yuichiro Koyama Zhi-Wei Zhong Shusuke Takahashi Tatsuya Kawahara Yuki Mitsufuji DiffM 27 14 0 18 May 2023
Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation Zihao W. Wang DiffM 35 4 0 26 Apr 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference Florentin Coeurdoux N. Dobigeon P. Chainais 27 14 0 21 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 50 0 10 Apr 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 56 65 0 29 Mar 2023
Learning Gradually Non-convex Image Priors Using Score Matching Erich Kobler T. Pock 38 3 0 21 Feb 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context Anna Kuzina Jakub M. Tomczak BDL DRL 23 1 0 20 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 22 21 0 14 Feb 2023
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models Shengmeng Li Luping Liu Zenghao Chai Runnan Li Xuejiao Tan DiffM 27 11 0 30 Jan 2023
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 11 9 0 24 Jan 2023
DiffRF: Rendering-Guided 3D Radiance Field Diffusion Norman Muller Yawar Siddiqui Lorenzo Porzi Samuel Rota Buló Peter Kontschieder Matthias Nießner 32 185 0 02 Dec 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 34 20 0 07 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 28 80 0 02 Nov 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 104 0 11 Oct 2022
Deep Generalized Schrödinger Bridge Guan-Horng Liu T. Chen Oswin So Evangelos A. Theodorou OT AI4CE 6 34 0 20 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 54 25 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,302 0 02 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 23 79 0 31 Aug 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models Julius Richter Simon Welker Jean-Marie Lemercier Bunlong Lay Timo Gerkmann DiffM 11 178 0 11 Aug 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation Sheng-liang Li Guangcong Zheng Haibo Wang Taiping Yao Yang Chen Shoudong Ding Xi Li DiffM 23 22 0 23 Jun 2022
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning Lorenz Richter Julius Berner 19 19 0 21 Jun 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 25 11 0 17 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 34 81 0 16 Jun 2022
Score-Based Generative Models Detect Manifolds Jakiw Pidstrigach DiffM 24 70 0 02 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models Kamil Deja Anna Kuzina Tomasz Trzciñski Jakub M. Tomczak DiffM 24 25 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 183 49 0 30 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 210 51 0 27 May 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 32 55 0 29 Mar 2022
Heavy-tailed denoising score matching J. Deasy Nikola Simidjievski Pietro Lio' DiffM 25 14 0 17 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Hyungjin Chung Byeongsu Sim Jong Chul Ye MedIm DiffM 36 342 0 09 Dec 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 174 162 0 21 Oct 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 53 1,057 0 01 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 657 0 10 Jun 2021