Justin M. Baker

Publication Activity (10 Years)

Years Active: 2024-2024
Publications (10 Years): 2

Top Topics

Recurrent Neural Networks

Approximate Inference

Message Passing

Top Venues

Publications

Shih-Hsin Wang, Yung-Chang Hsu, Justin M. Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks. ICLR (2024)
Justin M. Baker, Qingsong Wang, Martin Berzins, Thomas Strohmer, Bao Wang
Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs. AISTATS (2024)