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Recommendations for the article Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index
visibility_off Variational encoding of complex dynamics. Carlos X. Hernández, H. Wayment-Steele, Mohammad M. Sultan, B. Husic, V. Pande 2017-11-23 Physical review. E 134 103
visibility_off Author Correction: VAMPnets for deep learning of molecular kinetics Andreas Mardt, Luca Pasquali, Hao Wu, F. Noé 2018-10-22 Nature Communications 24 61
visibility_off Understanding recent deep‐learning techniques for identifying collective variables of molecular dynamics W. Zhang, Christof Schutte 2023-07-01 PAMM 2 28
visibility_off Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode Discovery in Dynamical Systems Wei Chen, Hythem Sidky, Andrew L. Ferguson 2019-06-02 ArXiv 31 35
visibility_off Autoencoders for dimensionality reduction in molecular dynamics: Collective variable dimension, biasing, and transition states. Zineb Belkacemi, M. Bianciotto, H. Minoux, T. Lelièvre, G. Stoltz, P. Gkeka 2023-06-05 The Journal of chemical physics 3 37
visibility_off Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs Willis Hoke, D. Shea, S. Casey 2021-05-26 ArXiv 0 8
visibility_off Nonlinear Discovery of Slow Molecular Modes using Hierarchical Dynamics Encoders Wei Chen, Hythem Sidky, Andrew L. Ferguson 2019-02-09 The Journal of chemical physics 77 35
visibility_off Using an Autoencoder for Dimensionality Reduction in Quantum Dynamics S. Reiter, T. Schnappinger, R. Vivie-Riedle 2019-09-17 MAG, DBLP 2 27
visibility_off VAMPnets for deep learning of molecular kinetics Andreas Mardt, Luca Pasquali, Hao Wu, F. Noé 2017-10-16 Nature Communications 463 61
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index