Deep Generative Markov State Models. - Hao Wu 035; Andreas Mardt; Luca Pasquali; Frank Noé (NeurIPS, 2018)

Deep learning Markov and Koopman models with physical constraints. - Andreas Mardt; Luca Pasquali; Frank Noé; Hao Wu 035 (MSML, 2020)

Deeptime: a Python library for machine learning dynamical models from time series data. - Moritz Hoffmann 002; Martin Scherer; Tim Hempel; Andreas Mardt; Brian de Silva; Brooke E. Husic; Stefan Klus; Hao Wu 035; J. Nathan Kutz; Steven L. Brunton; Frank Noé (Mach. Learn. Sci. Technol., 2022)

Deep learning of the dynamics of complex systems with its applications to biochemical molecules. - Andreas Mardt (2022)