518 citations · 598 across the 6 of their papers we have counts for
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math.DS2021★ 17 cited
Deeptime: a Python library for machine learning dynamical models from time series data
Moritz Hoffmann, Martin Scherer, Tim Hempel +8
Generation and analysis of time-series data is relevant to many quantitative fields ranging from economics to fluid mechanics. In the physical sciences, structures such as metastab…
q-bio.QM2021★ 2 cited
Progress in deep Markov State Modeling: Coarse graining and experimental data restraints
Andreas Mardt, Frank Noé
Recent advances in deep learning frameworks have established valuable tools for analyzing the long-timescale behavior of complex systems such as proteins. Especially the inclusion…