Justin M. Baker

According to our database, Justin M. Baker authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs.

Justin M. Baker, Qingsong Wang, Martin Berzins, Thomas Strohmer, Bao Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs.

Justin M. Baker, Elena Cherkaev, Akil Narayan, Bao Wang

J. Sci. Comput., May, 2023

Regularized Reduced Order Lippman-Schwinger-Lanczos Method for Inverse Scattering Problems in the Frequency Domain.

Justin M. Baker, Elena Cherkaev, Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky

CoRR, 2023

Implicit Graph Neural Networks: A Monotone Operator Viewpoint.

Justin M. Baker, Qingsong Wang, Cory D. Hauck, Bao Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs.

Justin M. Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang

CoRR, 2022

Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs.

Justin M. Baker, Elena Cherkaev, Akil Narayan, Bao Wang

CoRR, 2022