Justin M. Baker

15 papers A* 4A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs.
CoRR
Shih-Hsin Wang, Yuhao Huang, Taos Transue, Justin M. Baker, Jonathan Forstater, Thomas Strohmer, Bao Wang
2025 A* conf
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules.
ICLR
Shih-Hsin Wang, Yuhao Huang, Justin M. Baker, Yuan-En Sun, Qi Tang, Bao Wang
2025 — conf
Boltzmann Graph Ensemble Embeddings for Aptamer Libraries.
ICDM (Workshops)
Starlika Bauskar, Jade Jiao, Narayanan Kannan, Alexander Kimm, Justin M. Baker, Matthew J. Tyler, Andrea L. Bertozzi, Anne M. Andrews
2025 J jnl
Boltzmann Graph Ensemble Embeddings for Aptamer Libraries.
CoRR
Starlika Bauskar, Jade Jiao, Narayanan Kannan, Alexander Kimm, Justin M. Baker, Matthew J. Tyler, Andrea L. Bertozzi, Anne M. Andrews
2025 J jnl
Conformational Rank Conditioned Committees for Machine Learning-Assisted Directed Evolution.
CoRR
Mia Adler, Carrie Liang, Brian Peng, Oleg Presnyakov, Justin M. Baker, Jannelle Lauffer, Himani Sharma, Barry Merriman
2025 J jnl
Regularized reduced order Lippmann-Schwinger-Lanczos method for inverse scattering problems in the frequency domain.
J. Comput. Phys.
Justin M. Baker, Elena Cherkaev, Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky
2024 A* conf
An Explicit Frame Construction for Normalizing 3D Point Clouds.
ICML
Justin M. Baker, Shih-Hsin Wang, Tommaso de Fernex, Bao Wang
2024 J jnl
Learning to Control the Smoothness of Graph Convolutional Network Features.
CoRR
Shih-Hsin Wang, Justin M. Baker, Cory D. Hauck, Bao Wang
2024 A conf
Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs.
AISTATS
Justin M. Baker, Qingsong Wang, Martin Berzins, Thomas Strohmer, Bao Wang
2024 A* conf
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks.
ICLR
Shih-Hsin Wang, Yung-Chang Hsu, Justin M. Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang
2023 A* conf
Implicit Graph Neural Networks: A Monotone Operator Viewpoint.
ICML
Justin M. Baker, Qingsong Wang, Cory D. Hauck, Bao Wang
2023 J jnl
Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs.
J. Sci. Comput.
Justin M. Baker, Elena Cherkaev, Akil Narayan, Bao Wang
2023 J jnl
Regularized Reduced Order Lippman-Schwinger-Lanczos Method for Inverse Scattering Problems in the Frequency Domain.
CoRR
Justin M. Baker, Elena Cherkaev, Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky
2022 J jnl
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs.
CoRR
Justin M. Baker, Elena Cherkaev, Akil Narayan, Bao Wang
2022 J jnl
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs.
CoRR
Justin M. Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang