Kadierdan Kaheman

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Experimental Data

Probability Distribution

Top Venues

Mach. Learn. Sci. Technol.

J. Open Source Softw.

Publications

Daksh Dhingra, Kadierdan Kaheman, Sawyer B. Fuller
Modeling and LQR Control of Insect Sized Flapping Wing Robot. CoRR (2024)
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)
Kadierdan Kaheman, Steven L. Brunton, J. Nathan Kutz
Automatic differentiation to simultaneously identify nonlinear dynamics and extract noise probability distributions from data. Mach. Learn. Sci. Technol. 3 (1) (2022)
Kadierdan Kaheman, Urban Fasel, Jason J. Bramburger, Benjamin Strom, J. Nathan Kutz, Steven L. Brunton
The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control. CoRR (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)
Kadierdan Kaheman, J. Nathan Kutz, Steven L. Brunton
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics. CoRR (2020)
Kadierdan Kaheman, Steven L. Brunton, J. Nathan Kutz
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data. CoRR (2020)
Kadierdan Kaheman, Eurika Kaiser, Benjamin Strom, J. Nathan Kutz, Steven L. Brunton
Learning Discrepancy Models From Experimental Data. CoRR (2019)