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Kadierdan Kaheman
ORCID
Publication Activity (10 Years)
Years Active: 2019-2022
Publications (10 Years): 7
Top Topics
Dynamic Model
Probability Distribution
Experimental Data
Sparsity Constraints
Top Venues
CoRR
Mach. Learn. Sci. Technol.
J. Open Source Softw.
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Publications
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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)