Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition
Path Sampling

Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

10 October 2024

Michael Plainer

Alán Aspuru-Guzik

Kirill Neklyudov

Papers citing "Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling"

10 / 10 papers shown

Title
PINN-MEP: Continuous Neural Representations for Minimum-Energy Path Discovery in Molecular Systems Magnus Petersen Roberto Covino 352 0 0 23 Apr 2025
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling Stefano Peluchetti OT DiffM 54 55 0 03 Apr 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 94 85 0 29 Mar 2023
Diffusion-based Molecule Generation with Informative Prior Bridges Lemeng Wu Chengyue Gong Xingchao Liu Mao Ye Qiang Liu DiffM 69 113 0 02 Sep 2022
Simulating Diffusion Bridges with Score Matching J. Heng Valentin De Bortoli Arnaud Doucet James Thornton 57 44 0 14 Nov 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 93 465 0 01 Jun 2021
Molecular Latent Space Simulators Hythem Sidky Wei Chen Andrew L. Ferguson AI4CE 40 34 0 01 Jul 2020
A reinforcement learning approach to rare trajectory sampling Dominic C. Rose Jamie F. Mair J. P. Garrahan 58 51 0 26 May 2020
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics Han Wang Linfeng Zhang Jiequn Han E. Weinan AI4CE 47 1,237 0 11 Dec 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 171 2,529 0 02 Nov 2016