| Criticality Experiments to Reduce Compensating Errors in Plutonium Nuclear Data J Hutchinson, J Alwin, B Bell, A Clark, T Cutler, M Grosskopf, W Haeck, ... Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023 | 3 | 2023 |
| An exact kernel equivalence for finite classification models BW Bell, M Geyer, D Glickenstein, AS Fernandez, J Moore Topological, Algebraic and Geometric Learning Workshops 2023, 206-217, 2023 | 1 | 2023 |
| Persistent Classification: A New Approach to Stability of Data and Adversarial Examples B Bell, M Geyer, D Glickenstein, K Hamm, C Scheidegger, A Fernandez, ... arXiv preprint arXiv:2404.08069, 2024 | | 2024 |
| Exact Path Kernels Naturally Decompose Model Predictions M Geyer, BW Bell, D Glickenstein, AS Fernandez, J Moore | | 2023 |
| EUCLID Experiment: Design, Execution, and Early Results [Slides] SA Vander Wiel, JL Alwin, BW Bell, AR Clark, TE Cutler, MJ Grosskopf, ... Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023 | | 2023 |
| On the Relationship Between Data Manifolds and Adversarial Examples M Geyer, BW Bell, AS Fernandez, J Moore | | 2023 |
| A Geometric Framework for Adversarial Vulnerability in Machine Learning B Bell The University of Arizona, 2023 | | 2023 |
| Early COVID-19 respiratory risk stratification using machine learning MJ Douglas, BW Bell, A Kinney, SA Pungitore, BP Toner Trauma Surgery & Acute Care Open 7 (1), e000892, 2022 | | 2022 |
| System and method for rule based forecasting in multichannel, multi-offer, and multi-customer-segment environments JAS Adam N. Rosenberg, Brian W. Bell US Patent US20210304231A1, 2021 | | 2021 |
| Exploration via Sample-Efficient Subgoal Design. Y Wang, B Bell, M Poloczek, DR Jiang CoRR, 2019 | | 2019 |
Michael GeyerComputer Science Research Assistant, University of Texas at San AntonioVerified email at utsa.edu
