Nicholas Zolman

According to our database, Nicholas Zolman authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks.

Amanda A. Howard, Nicholas Zolman, Bruno Jacob, Steven L. Brunton, Panos Stinis

CoRR, March, 2026

2025

HydroGym: A Reinforcement Learning Platform for Fluid Dynamics.

Christian Lagemann, Sajeda Mokbel, Miro Gondrum, Mario Rüttgers, Jared Callaham, Ludger Paehler, Samuel Ahnert, Nicholas Zolman, Kai Lagemann, Nikolaus A. Adams, Matthias Meinke, Wolfgang Schröder, Jean-Christophe Loiseau, Esther Lagemann, Steven L. Brunton

CoRR, December, 2025

A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning.

Samuel E. Otto, Nicholas Zolman, J. Nathan Kutz, Steven L. Brunton

J. Mach. Learn. Res., 2025

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

2024

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning.

Nicholas Zolman, Urban Fasel, J. Nathan Kutz, Steven L. Brunton

CoRR, 2024

2023

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

2022

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