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NETS: A Non-Equilibrium Transport Sampler

3 October 2024

Papers citing "NETS: A Non-Equilibrium Transport Sampler"

32 / 32 papers shown

Title
Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Chenguang Wang Xiaoyu Zhang Kaiyuan Cui Weichen Zhao Yongtao Guan Tianshu Yu DiffM 75 0 0 26 May 2025
On scalable and efficient training of diffusion samplers Minkyu Kim Kiyoung Seong Dongyeop Woo SungSoo Ahn Minsu Kim DiffM 116 0 0 26 May 2025
Energy-based generator matching: A neural sampler for general state space Dongyeop Woo Minsu Kim Minkyu Kim Kiyoung Seong SungSoo Ahn 79 0 0 26 May 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J. Havens Benjamin Kurt Miller Bing Yan Carles Domingo-Enrich Anuroop Sriram ... Brandon Amos Brian Karrer Xiang Fu Guan-Horng Liu Ricky T. Q. Chen DiffM 139 2 0 16 Apr 2025
Sequential Controlled Langevin Diffusions Junhua Chen Lorenz Richter Julius Berner Denis Blessing Gerhard Neumann A. Anandkumar 111 21 0 10 Dec 2024
Path-Guided Particle-based Sampling Mingzhou Fan Ruida Zhou C. Tian Xiaoning Qian 117 7 0 04 Dec 2024
Training Neural Samplers with Reverse Diffusive KL Divergence Wenlin Chen Jiajun He Mingtian Zhang David Barber José Miguel Hernández-Lobato DiffM 107 8 0 16 Oct 2024
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 92 2 0 29 Jul 2024
Posterior Sampling with Denoising Oracles via Tilted Transport Joan Bruna Jiequn Han DiffM MedIm 68 6 0 30 Jun 2024
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling Denis Blessing Xiaogang Jia Johannes Esslinger Francisco Vargas Gerhard Neumann 93 26 0 11 Jun 2024
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 90 13 0 03 May 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 74 57 0 09 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 171 28 0 07 Feb 2024
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 301 325 0 15 Mar 2023
Denoising Diffusion Samplers Francisco Vargas Will Grathwohl Arnaud Doucet DiffM 56 89 0 27 Feb 2023
Learning Interpolations between Boltzmann Densities Bálint Máté Franccois Fleuret 90 28 0 18 Jan 2023
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 124 94 0 02 Nov 2022
Action Matching: Learning Stochastic Dynamics from Samples Kirill Neklyudov Rob Brekelmans Daniel de Souza Severo Alireza Makhzani 71 58 0 13 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 209 1,373 0 06 Oct 2022
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 95 17 0 23 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 198 1,043 0 07 Sep 2022
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 102 94 0 03 Aug 2022
Continual Repeated Annealed Flow Transport Monte Carlo A. G. Matthews Michael Arbel Danilo Jimenez Rezende Arnaud Doucet OT 92 53 0 31 Jan 2022
Stochastic normalizing flows as non-equilibrium transformations M. Caselle E. Cellini A. Nada M. Panero 65 35 0 21 Jan 2022
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 100 117 0 30 Nov 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 111 475 0 01 Jun 2021
Annealed Flow Transport Monte Carlo Michael Arbel A. G. Matthews Arnaud Doucet 83 78 0 15 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 353 6,566 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 674 18,310 0 19 Jun 2020
Flow-based generative models for Markov chain Monte Carlo in lattice field theory M. S. Albergo G. Kanwar P. Shanahan AI4CE 59 219 0 26 Apr 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 429 5,156 0 19 Jun 2018
Transport map accelerated Markov chain Monte Carlo M. Parno Youssef Marzouk OT 103 161 0 17 Dec 2014