Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities

29 August 2024

Papers citing "Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities"

11 / 11 papers shown

Title
Energy-based generator matching: A neural sampler for general state space Dongyeop Woo Minsu Kim Minkyu Kim Kiyoung Seong SungSoo Ahn 84 0 0 26 May 2025
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 100 2 0 29 Jul 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 78 58 0 09 Feb 2024
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 114 308 0 01 Feb 2023
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 133 95 0 02 Nov 2022
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 108 95 0 03 Aug 2022
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 100 118 0 30 Nov 2021
Normalizing flows for atomic solids Peter Wirnsberger George Papamakarios Borja Ibarz S. Racanière Andy Ballard Alexander Pritzel Charles Blundell 58 41 0 16 Nov 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 103 336 0 08 Jun 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 113 1,033 0 19 Feb 2021
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 446 5,168 0 19 Jun 2018