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Journal Articles
- 2022
[j2]Moritz Hoffmann
, Martin Scherer, Tim Hempel, Andreas Mardt, Brian de Silva, Brooke E. Husic, Stefan Klus, Hao Wu, J. Nathan Kutz, Steven L. Brunton, Frank Noé:
Deeptime: a Python library for machine learning dynamical models from time series data. Mach. Learn. Sci. Technol. 3(1): 15009 (2022)- 2016
- [j1]Robert T. McGibbon, Carlos X. Hernández, Matthew P. Harrigan, Steven Kearnes, Mohammad M. Sultan, Stanislaw Jastrzebski, Brooke E. Husic, Vijay S. Pande:
Osprey: Hyperparameter Optimization for Machine Learning. J. Open Source Softw. 1(5): 34 (2016)
Informal and Other Publications
- 2022
- [i5]Maciej Majewski, Adrià Pérez, Philipp Thölke, Stefan Doerr, Nicholas E. Charron, Toni Giorgino, Brooke E. Husic, Cecilia Clementi, Frank Noé, Gianni De Fabritiis:
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics. CoRR abs/2212.07492 (2022) - 2021
- [i4]Moritz Hoffmann, Martin Scherer, Tim Hempel, Andreas Mardt, Brian de Silva, Brooke E. Husic, Stefan Klus, Hao Wu, J. Nathan Kutz, Steven L. Brunton, Frank Noé:
Deeptime: a Python library for machine learning dynamical models from time series data. CoRR abs/2110.15013 (2021) - 2019
- [i3]Jared Dunnmon, Swetava Ganguli, Darren Hau, Brooke E. Husic:
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities. CoRR abs/1902.07087 (2019) - 2018
- [i2]Evan N. Feinberg, Debnil Sur, Brooke E. Husic, Doris Mai, Yang Li, Jianyi Yang, Bharath Ramsundar, Vijay S. Pande:
Spatial Graph Convolutions for Drug Discovery. CoRR abs/1803.04465 (2018) - [i1]Brooke E. Husic, Kristy L. Schlueter-Kuck, John O. Dabiri:
Amplifying state dissimilarity leads to robust and interpretable clustering of scientific data. CoRR abs/1807.04427 (2018)
Coauthor Index
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