Brooke E. Husic

According to our database, Brooke E. Husic authored at least 6 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deeptime: a Python library for machine learning dynamical models from time series data.

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

Mach. Learn. Sci. Technol., 2022

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

2019

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

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

Spatial Graph Convolutions for Drug Discovery.

Evan N. Feinberg, Debnil Sur, Brooke E. Husic, Doris Mai, Yang Li, Jianyi Yang, Bharath Ramsundar, Vijay S. Pande

CoRR, 2018

2016

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