ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.00728
  4. Cited By
Molecular Latent Space Simulators

Molecular Latent Space Simulators

1 July 2020
Hythem Sidky
Wei Chen
Andrew L. Ferguson
    AI4CE
ArXivPDFHTML

Papers citing "Molecular Latent Space Simulators"

9 / 9 papers shown
Title
High-resolution Markov state models for the dynamics of Trp-cage
  miniprotein constructed over slow folding modes identified by state-free
  reversible VAMPnets
High-resolution Markov state models for the dynamics of Trp-cage miniprotein constructed over slow folding modes identified by state-free reversible VAMPnets
Hythem Sidky
Wei Chen
Andrew L. Ferguson
31
54
0
12 Jun 2019
Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode
  Discovery in Dynamical Systems
Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode Discovery in Dynamical Systems
Wei Chen
Hythem Sidky
Andrew L. Ferguson
53
36
0
02 Jun 2019
Nonlinear Discovery of Slow Molecular Modes using State-Free Reversible
  VAMPnets
Nonlinear Discovery of Slow Molecular Modes using State-Free Reversible VAMPnets
Wei Chen
Hythem Sidky
Andrew L. Ferguson
29
97
0
09 Feb 2019
Deep learning for universal linear embeddings of nonlinear dynamics
Deep learning for universal linear embeddings of nonlinear dynamics
Bethany Lusch
J. Nathan Kutz
Steven L. Brunton
69
1,248
0
27 Dec 2017
Variational Encoding of Complex Dynamics
Variational Encoding of Complex Dynamics
Carlos X. Hernández
H. Wayment-Steele
Mohammad M. Sultan
B. Husic
Vijay S. Pande
AI4CE
57
140
0
23 Nov 2017
Time-lagged autoencoders: Deep learning of slow collective variables for
  molecular kinetics
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
C. Wehmeyer
Frank Noé
AI4CE
BDL
148
360
0
30 Oct 2017
VAMPnets: Deep learning of molecular kinetics
VAMPnets: Deep learning of molecular kinetics
Andreas Mardt
Luca Pasquali
Hao Wu
Frank Noé
60
545
0
16 Oct 2017
Variational approach for learning Markov processes from time series data
Variational approach for learning Markov processes from time series data
Hao Wu
Frank Noé
BDL
AI4TS
27
263
0
14 Jul 2017
A variational approach to modeling slow processes in stochastic
  dynamical systems
A variational approach to modeling slow processes in stochastic dynamical systems
Frank Noé
Feliks Nuske
72
294
0
29 Nov 2012
1