3 papers
math.OC2025
CASL-HJX: A Comprehensive Guide to Solving Deterministic and Stochastic Hamilton-Jacobi Equations
Faranak Rajabi, Jacob Fingerman, Andrew Wang +2
CASL-HJX is a computational framework designed for solving deterministic and stochastic Hamilton-Jacobi equations in two spatial dimensions. It provides a flexible and efficient ap…
cs.LG2024
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems
Adarsh Iyer, Nibodh Boddupalli, Jeff Moehlis
Interpretable mathematical expressions defining discrete-time dynamical systems (iterated maps) can model many phenomena of scientific interest, enabling a deeper understanding of…
stat.ML2014
A Nonparametric Adaptive Nonlinear Statistical Filter
Michael Busch, Jeff Moehlis
We use statistical learning methods to construct an adaptive state estimator for nonlinear stochastic systems. Optimal state estimation, in the form of a Kalman filter, requires kn…