An optimal control perspective on diffusion-based generative modeling

An optimal control perspective on diffusion-based generative modeling

2 November 2022

Papers citing "An optimal control perspective on diffusion-based generative modeling"

16 / 66 papers shown

Title
Generative Diffusion From An Action Principle Akhil Premkumar DiffM 21 4 0 06 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 34 41 0 04 Oct 2023
Reverse Diffusion Monte Carlo Xunpeng Huang Hanze Dong Yi Hao Yi Ma Tong Zhang DiffM 35 24 0 05 Jul 2023
Improved sampling via learned diffusions Lorenz Richter Julius Berner DiffM 37 52 0 03 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 53 3 0 03 Jul 2023
Spontaneous Symmetry Breaking in Generative Diffusion Models G. Raya L. Ambrogioni DiffM 17 30 0 31 May 2023
To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models Francisco Vargas Teodora Reu A. Kerekes Michael M Bronstein DiffM 35 1 0 16 May 2023
A mean-field games laboratory for generative modeling Benjamin J. Zhang M. Katsoulakis 30 18 0 26 Apr 2023
Transport with Support: Data-Conditional Diffusion Bridges Ella Tamir Martin Trapp Arno Solin DiffM OT 28 7 0 31 Jan 2023
DriftRec: Adapting diffusion models to blind JPEG restoration Simon Welker H. Chapman Timo Gerkmann DiffM 38 12 0 12 Nov 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 142 412 0 04 Oct 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 191 128 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 135 248 0 22 Sep 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 174 164 0 21 Oct 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 138 48 0 20 Oct 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 315 36,381 0 25 Aug 2016