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Stochastic Optimal Control for Collective Variable Free Sampling of
  Molecular Transition Paths

Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths

27 June 2022
Lars Holdijk
Yuanqi Du
F. Hooft
P. Jaini
B. Ensing
Max Welling
ArXivPDFHTML

Papers citing "Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths"

9 / 9 papers shown
Title
PINN-MEP: Continuous Neural Representations for Minimum-Energy Path Discovery in Molecular Systems
PINN-MEP: Continuous Neural Representations for Minimum-Energy Path Discovery in Molecular Systems
Magnus Petersen
Roberto Covino
352
0
0
23 Apr 2025
Single-Step Consistent Diffusion Samplers
Single-Step Consistent Diffusion Samplers
Pascal Jutras-Dubé
Patrick Pynadath
Ruqi Zhang
DiffM
121
0
0
17 Feb 2025
Improved off-policy training of diffusion samplers
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
115
25
0
07 Feb 2024
Diffusion Schrödinger Bridge with Applications to Score-Based
  Generative Modeling
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli
James Thornton
J. Heng
Arnaud Doucet
DiffM
OT
93
461
0
01 Jun 2021
Learning Gradient Fields for Molecular Conformation Generation
Learning Gradient Fields for Molecular Conformation Generation
Chence Shi
Shitong Luo
Minkai Xu
Jian Tang
DiffM
AI4CE
70
214
0
09 May 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
83
997
0
19 Feb 2021
Multitask machine learning of collective variables for enhanced sampling
  of rare events
Multitask machine learning of collective variables for enhanced sampling of rare events
Lixin Sun
Jonathan Vandermause
Simon L. Batzner
Yu Xie
David J. Clark
Wei Chen
Boris Kozinsky
36
41
0
07 Dec 2020
Machine Learning Force Fields
Machine Learning Force Fields
Oliver T. Unke
Stefan Chmiela
H. E. Sauceda
M. Gastegger
I. Poltavsky
Kristof T. Schütt
A. Tkatchenko
K. Müller
AI4CE
90
903
0
14 Oct 2020
Adaptive importance sampling for control and inference
Adaptive importance sampling for control and inference
H. Kappen
Hans Christian Ruiz
44
101
0
07 May 2015
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