A mean-field games laboratory for generative modeling

26 April 2023

Papers citing "A mean-field games laboratory for generative modeling"

14 / 14 papers shown

Title
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization Kelvin Kan Xingjian Li Stanley Osher 93 2 0 30 Jan 2025
Equivariant score-based generative models provably learn distributions with symmetries efficiently Ziyu Chen M. Katsoulakis Benjamin J. Zhang DiffM 37 2 0 02 Oct 2024
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems Mo Zhou Stanley Osher Wuchen Li 84 2 0 24 Sep 2024
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models Tingwei Meng Zongren Zou Jérome Darbon George Karniadakis DiffM 40 2 0 15 Sep 2024
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows Hyemin Gu M. Katsoulakis Luc Rey-Bellet Benjamin J. Zhang 45 3 0 16 Jul 2024
Dynamical Measure Transport and Neural PDE Solvers for Sampling Jingtong Sun Julius Berner Lorenz Richter Marius Zeinhofer Johannes Müller Kamyar Azizzadenesheli Anima Anandkumar OT DiffM 39 8 0 10 Jul 2024
Nonlinear denoising score matching for enhanced learning of structured distributions Jeremiah Birrell M. Katsoulakis Luc Rey-Bellet Benjamin J. Zhang Wei-wei Zhu DiffM 28 1 0 24 May 2024
Wasserstein proximal operators describe score-based generative models and resolve memorization Benjamin J. Zhang Siting Liu Wuchen Li M. Katsoulakis Stanley J. Osher DiffM 38 8 0 09 Feb 2024
Neural Sinkhorn Gradient Flow Huminhao Zhu Fangyikang Wang Chao Zhang Han Zhao Hui Qian 27 5 0 25 Jan 2024
Differential Equations for Continuous-Time Deep Learning Lars Ruthotto AI4TS AI4CE SyDa BDL 37 7 0 08 Jan 2024
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 47 3 0 03 Jul 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 251 262 0 15 Mar 2023
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 28 80 0 02 Nov 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 174 163 0 21 Oct 2021