Ethan Lew

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Ordinary Differential Equations

Kernel Function

Statistical Disclosure Control

Top Venues

J. Comput. Phys.

Publications

Stanley Bak, Sergiy Bogomolov, Abdelrahman Hekal, Niklas Kochdumper, Ethan Lew, Andrew Mata, Amir Rahmati
Falsification using Reachability of Surrogate Koopman Models. HSCC (2024)
Kamel Lahouel, Michael Wells, Victor Rielly, Ethan Lew, David Lovitz, Bruno M. Jedynak
Learning nonparametric ordinary differential equations from noisy data. J. Comput. Phys. 507 (2024)
Victor Rielly, Kamel Lahouel, Ethan Lew, Michael Wells, Vicky Haney, Bruno Jedynak
Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. CoRR (2023)
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
The 2010 Census Confidentiality Protections Failed, Here's How and Why. CoRR (2023)
Ethan Lew, Abdelrahman Hekal, Kostiantyn Potomkin, Niklas Kochdumper, Brandon Hencey, Stanley Bak, Sergiy Bogomolov
AutoKoopman: A Toolbox for Automated System Identification via Koopman Operator Linearization. ATVA (2023)
Stanley Bak, Sergiy Bogomolov, Brandon Hencey, Niklas Kochdumper, Ethan Lew, Kostiantyn Potomkin
Reachability of Koopman Linearized Systems Using Random Fourier Feature Observables and Polynomial Zonotope Refinement. CAV (1) (2022)
Kamel Lahouel, Michael Wells, David Lovitz, Victor Rielly, Ethan Lew, Bruno Jedynak
Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data. CoRR (2022)