Ethan Lew

11 papers B 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
MOCK: an Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions.
Trans. Mach. Learn. Res.
Victor Rielly, Kamel Lahouel, Ethan Lew, Nicholas Fisher, Vicky Haney, Michael Wells, Bruno M. Jedynak
2025 J jnl
On the Evaluation of Engineering Artificial General Intelligence.
CoRR
Sandeep Neema, Susmit Jha, Adam Nagel, Ethan Lew, Chandrasekar Sureshkumar, Aleksa Gordic, Chase Shimmin, Hieu Nguygen, Paul Eremenko
2025 J jnl
Reachability of Koopman linearized systems using explicit kernel approximation and polynomial zonotope refinement.
Formal Methods Syst. Des.
Stanley Bak, Sergiy Bogomolov, Brandon Hencey, Niklas Kochdumper, Ethan Lew, Kostiantyn Potomkin
2024 — conf
Falsification using Reachability of Surrogate Koopman Models.
HSCC
Stanley Bak, Sergiy Bogomolov, Abdelrahman Hekal, Niklas Kochdumper, Ethan Lew, Andrew Mata, Amir Rahmati
2024 — conf
Fast Koopman Surrogate Falsification Using Linear Relaxations and Weights.
ATVA (2)
Stanley Bak, Abdelrahman Hekal, Niklas Kochdumper, Ethan Lew, Andrew Mata, Amir Rahmati
2024 J jnl
Learning nonparametric ordinary differential equations from noisy data.
J. Comput. Phys.
Kamel Lahouel, Michael Wells, Victor Rielly, Ethan Lew, David Lovitz, Bruno M. Jedynak
2023 B conf
AutoKoopman: A Toolbox for Automated System Identification via Koopman Operator Linearization.
ATVA
Ethan Lew, Abdelrahman Hekal, Kostiantyn Potomkin, Niklas Kochdumper, Brandon Hencey, Stanley Bak, Sergiy Bogomolov
2023 J jnl
Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions.
CoRR
Victor Rielly, Kamel Lahouel, Ethan Lew, Michael Wells, Vicky Haney, Bruno Jedynak
2023 J jnl
The 2010 Census Confidentiality Protections Failed, Here's How and Why.
CoRR
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
2022 J jnl
Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data.
CoRR
Kamel Lahouel, Michael Wells, David Lovitz, Victor Rielly, Ethan Lew, Bruno Jedynak
2022 — conf
Reachability of Koopman Linearized Systems Using Random Fourier Feature Observables and Polynomial Zonotope Refinement.
CAV (1)
Stanley Bak, Sergiy Bogomolov, Brandon Hencey, Niklas Kochdumper, Ethan Lew, Kostiantyn Potomkin