Osprey: Hyperparameter Optimization for Machine Learning. - Robert T. McGibbon; Carlos X. Hernández; Matthew P. Harrigan; Steven Kearnes; Mohammad M. Sultan; Stanislaw Jastrzebski; Brooke E. Husic; Vijay S. Pande (J. Open Source Softw., 2016)

Spatial Graph Convolutions for Drug Discovery. - Evan N. Feinberg; Debnil Sur; Brooke E. Husic; Doris Mai; Yang Li 042; Jianyi Yang; Bharath Ramsundar; Vijay S. Pande (CoRR, 2018)

Amplifying state dissimilarity leads to robust and interpretable clustering of scientific data. - Brooke E. Husic; Kristy L. Schlueter-Kuck; John O. Dabiri (CoRR, 2018)

Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities. - Jared Dunnmon; Swetava Ganguli; Darren Hau; Brooke E. Husic (CoRR, 2019)

Machine Learning Coarse-Grained Potentials of Protein Thermodynamics. - Maciej Majewski; Adrià Pérez; Philipp Thölke; Stefan Doerr; Nicholas E. Charron; Toni Giorgino; Brooke E. Husic; Cecilia Clementi; Frank Noé; Gianni De Fabritiis (CoRR, 2022)

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)