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 Data Selection for ERMsAnnual Conference Computational Learning Theory (COLT), 2025 |
 Follow Anything: Open-set detection, tracking, and following in
real-timeIEEE Robotics and Automation Letters (RA-L), 2023 Alaa Maalouf Ninad Jadhav Krishna Murthy Jatavallabhula Makram Chahine Daniel M.Vogt Robert J. Wood Antonio Torralba Daniela Rus |
 Provable Data Subset Selection For Efficient Neural Network TrainingInternational Conference on Machine Learning (ICML), 2023 |
 Deep Learning on Home Drone: Searching for the Optimal ArchitectureIEEE International Conference on Robotics and Automation (ICRA), 2022 |
 Pruning Neural Networks via Coresets and Convex Geometry: Towards No
AssumptionsNeural Information Processing Systems (NeurIPS), 2022 |
 Exploring the Learning Difficulty of Data Theory and MeasureACM Transactions on Knowledge Discovery from Data (TKDD), 2022 |
 Coresets for Data Discretization and Sine Wave FittingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
