Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body. - Justice Mason; Christine Allen-Blanchette; Nicholas Zolman; Elizabeth N. Davison; Naomi Ehrich Leonard (CoRR, 2022)

Learning to predict 3D rotational dynamics from images of a rigid body with unknown mass distribution. - Justice Mason; Christine Allen-Blanchette; Nicholas Zolman; Elizabeth N. Davison; Naomi Ehrich Leonard (CoRR, 2023)

A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning. - Samuel E. Otto; Nicholas Zolman; J. Nathan Kutz; Steven L. Brunton (CoRR, 2023)

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning. - Nicholas Zolman; Urban Fasel; J. Nathan Kutz; Steven L. Brunton (CoRR, 2024)

Machine Learning for Sparse Nonlinear Modeling and Control. - Steven L. Brunton; Nicholas Zolman; J. Nathan Kutz; Urban Fasel (Annu. Rev. Control. Robotics Auton. Syst., 2025)