Ethan Lew

According to our database, Ethan Lew authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Reachability of Koopman linearized systems using explicit kernel approximation and polynomial zonotope refinement.

Stanley Bak, Sergiy Bogomolov, Brandon Hencey, Niklas Kochdumper, Ethan Lew, Kostiantyn Potomkin

Formal Methods Syst. Des., August, 2025

On the Evaluation of Engineering Artificial General Intelligence.

Sandeep Neema, Susmit Jha, Adam Nagel, Ethan Lew, Chandrasekar Sureshkumar, Aleksa Gordic, Chase Shimmin, Hieu Nguygen, Paul Eremenko

CoRR, May, 2025

MOCK: an Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions.

Victor Rielly, Kamel Lahouel, Ethan Lew, Nicholas Fisher, Vicky Haney, Michael Wells, Bruno M. Jedynak

Trans. Mach. Learn. Res., 2025

2024

Learning nonparametric ordinary differential equations from noisy data.

Kamel Lahouel, Michael Wells, Victor Rielly, Ethan Lew, David Lovitz, Bruno M. Jedynak

J. Comput. Phys., 2024

Falsification using Reachability of Surrogate Koopman Models.

Stanley Bak, Sergiy Bogomolov, Abdelrahman Hekal, Niklas Kochdumper, Ethan Lew, Andrew Mata, Amir Rahmati

Proceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control, 2024

Fast Koopman Surrogate Falsification Using Linear Relaxations and Weights.

Stanley Bak, Abdelrahman Hekal, Niklas Kochdumper, Ethan Lew, Andrew Mata, Amir Rahmati

Proceedings of the Automated Technology for Verification and Analysis, 2024

2023

The 2010 Census Confidentiality Protections Failed, Here's How and Why.

John M. Abowd, Tamara Adams, Robert Ashmead, David Darais, Sourya Dey, Simson L. Garfinkel, Nathan Goldschlag, Daniel Kifer, Philip Leclerc, Ethan Lew, Scott Moore, Rolando A. Rodríguez, Ramy N. Tadros, Lars Vilhuber

CoRR, 2023

Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions.

Victor Rielly, Kamel Lahouel, Ethan Lew, Michael Wells, Vicky Haney, Bruno Jedynak

CoRR, 2023

AutoKoopman: A Toolbox for Automated System Identification via Koopman Operator Linearization.

Ethan Lew, Abdelrahman Hekal, Kostiantyn Potomkin, Niklas Kochdumper, Brandon Hencey, Stanley Bak, Sergiy Bogomolov

Proceedings of the Automated Technology for Verification and Analysis, 2023

2022

Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data.

Kamel Lahouel, Michael Wells, David Lovitz, Victor Rielly, Ethan Lew, Bruno Jedynak

CoRR, 2022

Reachability of Koopman Linearized Systems Using Random Fourier Feature Observables and Polynomial Zonotope Refinement.

Stanley Bak, Sergiy Bogomolov, Brandon Hencey, Niklas Kochdumper, Ethan Lew, Kostiantyn Potomkin

Proceedings of the Computer Aided Verification - 34th International Conference, 2022