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Group by: Date | Item Type Number of items: 3. 2022Mardt, Andreas and Hempel, Tim and Clementi, Cecilia and Noé, Frank (2022) Deep learning to decompose macromolecules into independent Markovian domains. nature communications, 13 . 2021Hoffmann, Moritz and Scherer, Martin and Hempel, Tim and Mardt, Andreas and de Silva, Brian and Husic, Brooke E. and Klus, Stefan and Wu, Hao and Kutz, Nathan and Brunton, Steven L (2021) Deeptime: a Python library for machine learning dynamical models from time series data. Mach. Learn.: Sci. Technol. 3 (2022), 3 (015009). pp. 1-28. 2020Mardt, Andreas and Pasquali, Luca and Noé, F. and Wu, Hao (2020) Deep learning Markov and Koopman models with physical constraints. Proceedings of Machine Learning Research, 107 . pp. 451-475. |
