Strohmer, Thomas

7 publications

CPAL 2025 FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration Xue Feng, M. Paul Laiu, Thomas Strohmer

NeurIPS 2025 Towards Multiscale Graph-Based Protein Learning with Geometric Secondary Structural Motifs Shih-Hsin Wang, Yuhao Huang, Taos Transue, Justin M. Baker, Jonathan Forstater, Thomas Strohmer, Bao Wang

AISTATS 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

JMLR 2023 Fair Data Representation for Machine Learning at the Pareto Frontier Shizhou Xu, Thomas Strohmer

ICLR 2022 GRAND++: Graph Neural Diffusion with a Source Term Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea Bertozzi, Stanley Osher, Bao Wang

JMLR 2021 Strong Consistency, Graph Laplacians, and the Stochastic Block Model Shaofeng Deng, Shuyang Ling, Thomas Strohmer

NeurIPSW 2019 A Hybrid Architecture for On-Device Compressive Machine Learning Yang Li, Thomas Strohmer