Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode Discovery in Dynamical Systems

2 June 2019

Papers citing "Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode Discovery in Dynamical Systems"

5 / 5 papers shown

Title
Machine Learning of Slow Collective Variables and Enhanced Sampling via Spatial Techniques Tuğçe Gökdemir Jakub Rydzewski 31 1 0 31 Dec 2024
A Functional approach for Two Way Dimension Reduction in Time Series Aniruddha Rajendra Rao Haiyan Wang Chetan Gupta AI4TS 19 1 0 01 Jan 2023
Interpretable Embeddings From Molecular Simulations Using Gaussian Mixture Variational Autoencoders Yasemin Bozkurt Varolgunes T. Bereau J. F. Rudzinski DRL 12 42 0 22 Dec 2019
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 111 356 0 30 Oct 2017
Estimation and uncertainty of reversible Markov models Benjamin Trendelkamp-Schroer Hao Wu Fabian Paul Frank Noé 76 129 0 19 Jul 2015