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Latent Representation and Simulation of Markov Processes via Time-Lagged
  Information Bottleneck

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck

13 September 2023
Marco Federici
Patrick Forré
Ryota Tomioka
Bastiaan S. Veeling
ArXivPDFHTML

Papers citing "Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck"

3 / 3 papers shown
Title
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
Ruikun Li
Huandong Wang
Qingmin Liao
Yong Li
41
0
0
24 Feb 2025
Learning invariant representations of time-homogeneous stochastic
  dynamical systems
Learning invariant representations of time-homogeneous stochastic dynamical systems
Vladimir Kostic
P. Novelli
Riccardo Grazzi
Karim Lounici
Massimiliano Pontil
22
7
0
19 Jul 2023
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
109
355
0
30 Oct 2017
1