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Action Matching: Learning Stochastic Dynamics from Samples

13 October 2022

Kirill Neklyudov

Rob Brekelmans

Daniel de Souza Severo

Alireza Makhzani

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Papers citing "Action Matching: Learning Stochastic Dynamics from Samples"

21 / 21 papers shown

Title
Minimum-Excess-Work Guidance Christopher Kolloff Tobias Höppe Emmanouil Angelis Mathias Jacob Schreiner Stefan Bauer Andrea Dittadi Simon Olsson OT 93 0 0 19 May 2025
PINN-MEP: Continuous Neural Representations for Minimum-Energy Path Discovery in Molecular Systems Magnus Petersen Roberto Covino 419 0 0 23 Apr 2025
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Lea Bogensperger Sebastian Kaltenbach Petros Koumoutsakos Bjoern Menze DiffM 130 3 0 14 Apr 2025
Training Neural Samplers with Reverse Diffusive KL Divergence Wenlin Chen Jiajun He Mingtian Zhang David Barber José Miguel Hernández-Lobato DiffM 104 8 0 16 Oct 2024
NETS: A Non-Equilibrium Transport Sampler M. S. Albergo Eric Vanden-Eijnden DiffM 107 21 0 03 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Zhenyi Zhang Tiejun Li Peijie Zhou OT 199 12 0 01 Oct 2024
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 111 5 0 19 May 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling Stefano Peluchetti OT DiffM 66 55 0 03 Apr 2023
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings Frederike Lubeck Charlotte Bunne Gabriele Gut J. Castillo L. Pelkmans David Alvarez-Melis OT 51 22 0 30 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 195 1,003 0 07 Sep 2022
Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu Samuel N. Cohen Joey Bose Brandon Amos Aditya Grover Maximilian Nickel Ricky T. Q. Chen Y. Lipman 96 42 0 11 Jul 2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference G. Huguet D. S. Magruder Alexander Tong O. Fasina Manik Kuchroo Guy Wolf Smita Krishnaswamy OT DRL 100 64 0 29 Jun 2022
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 106 473 0 01 Jun 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 344 6,551 0 26 Nov 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong Jessie Huang Guy Wolf David van Dijk Smita Krishnaswamy 64 174 0 09 Feb 2020
Machine learning for molecular simulation Frank Noé A. Tkatchenko K. Müller C. Clementi AI4CE 75 664 0 07 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,954 0 12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 115 418 0 17 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,156 0 19 Jun 2018
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 483 9,062 0 10 Jun 2016
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 215 4,277 0 04 Jun 2013