12 citations · 12 across the 1 of their papers we have counts for
2 papers
eess.SP2020★ 12 cited
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data
Kadierdan Kaheman, Steven L. Brunton, J. Nathan Kutz
The sparse identification of nonlinear dynamics (SINDy) is a regression framework for the discovery of parsimonious dynamic models and governing equations from time-series data. As…
cs.LG2019
Learning Discrepancy Models From Experimental Data
Kadierdan Kaheman, Eurika Kaiser, Benjamin Strom +2
First principles modeling of physical systems has led to significant technological advances across all branches of science. For nonlinear systems, however, small modeling errors ca…