Sparse learning of dynamical systems in rkhs: An operator-theoretic approach B Hou, S Sanjari, N Dahlin, S Bose, U Vaidya International Conference on Machine Learning, 13325-13352, 2023 | 11 | 2023 |
Sparse Learning of Kernel Transfer Operators B Hou, S Bose, U Vaidya 2021 55th Asilomar Conference on Signals, Systems, and Computers, 130-134, 2021 | 8 | 2021 |
Powering electric aircraft at o’hare airport: A case study B Hou, S Bose, K Haran 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 6 | 2020 |
Impact of aviation electrification on airports: Flight scheduling and charging B Hou, S Bose, L Marla, K Haran IEEE Transactions on Intelligent Transportation Systems, 2023 | 5 | 2023 |
Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces B Hou, S Sanjari, N Dahlin, S Bose Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 7902-7909, 2023 | 2 | 2023 |
Propagating uncertainty through system dynamics in reproducing kernel Hilbert space B Hou, ARR Matavalam, S Bose, U Vaidya Physica D: Nonlinear Phenomena 463, 134168, 2024 | | 2024 |
Compressed Online Learning of Conditional Mean Embedding B Hou, S Sanjari, A Koppel, S Bose https://arxiv.org/abs/2405.07432, 2024 | | 2024 |
Data-Driven Transient Stability Analysis Using the Koopman Operator A Reddy Ramapuram Matavalam, B Hou, H Choi, S Bose, U Vaidya Available at SSRN 4805006, 0 | | |