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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 |
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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 | Chasing collective variables using temporal data-driven strategies | Haochuan Chen, C. Chipot | 2023-01-06 | QRB Discovery | 9 | 54 |
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 | 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 |