Kathleen P. Champion

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 7

Top Topics

Sampling Strategies

Nonlinear Dynamical Systems

Accurate Models

Top Venues

J. Open Source Softw.

SIAM J. Appl. Dyn. Syst.

Publications

Joseph Bakarji, Kathleen P. Champion, J. Nathan Kutz, Steven L. Brunton
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders. CoRR (2022)
Alan A. Kaptanoglu, Brian de Silva, Urban Fasel, Kadierdan Kaheman, Andy Goldschmidt, Jared Callaham, Charles B. Delahunt, Zachary Nicolaou, Kathleen P. Champion, Jean-Christophe Loiseau, J. Kutz, Steven L. Brunton
PySINDy: A comprehensive Python package for robust sparse system identification. J. Open Source Softw. 7 (69) (2022)
Alan A. Kaptanoglu, Brian M. de Silva, Urban Fasel, Kadierdan Kaheman, Jared L. Callaham, Charles B. Delahunt, Kathleen P. Champion, Jean-Christophe Loiseau, J. Nathan Kutz, Steven L. Brunton
PySINDy: A comprehensive Python package for robust sparse system identification. CoRR (2021)
Brian de Silva, Kathleen P. Champion, Markus Quade, Jean-Christophe Loiseau, J. Nathan Kutz, Steven L. Brunton
PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data. J. Open Source Softw. 5 (49) (2020)
Kathleen P. Champion, Peng Zheng, Aleksandr Y. Aravkin, Steven L. Brunton, J. Nathan Kutz
A Unified Sparse Optimization Framework to Learn Parsimonious Physics-Informed Models From Data. IEEE Access 8 (2020)
Kathleen P. Champion, Steven L. Brunton, J. Nathan Kutz
Discovery of Nonlinear Multiscale Systems: Sampling Strategies and Embeddings. SIAM J. Appl. Dyn. Syst. 18 (1) (2019)
Kathleen P. Champion, Peng Zheng, Aleksandr Y. Aravkin, Steven L. Brunton, J. Nathan Kutz
A unified sparse optimization framework to learn parsimonious physics-informed models from data. CoRR (2019)