| The occupation kernel method for nonlinear system identification JA Rosenfeld, BP Russo, R Kamalapurkar, TT Johnson SIAM Journal on Control and Optimization 62 (3), 1643-1668, 2024 | 38* | 2024 |
| Occupation kernels and densely defined liouville operators for system identification JA Rosenfeld, R Kamalapurkar, B Russo, TT Johnson 2019 IEEE 58th Conference on Decision and Control (CDC), 6455-6460, 2019 | 29 | 2019 |
| The Mittag Leffler reproducing kernel Hilbert spaces of entire and analytic functions JA Rosenfeld, B Russo, WE Dixon Journal of Mathematical Analysis and Applications 463 (2), 576-592, 2018 | 24 | 2018 |
| A non-commutative Bayes' theorem AJ Parzygnat, BP Russo Linear Algebra and its Applications 644, 28-94, 2022 | 22 | 2022 |
| Motion tomography via occupation kernels BP Russo, R Kamalapurkar, D Chang, JA Rosenfeld Journal of Computational Dynamics 9 (1), 2021 | 12 | 2021 |
| Bayesian inversion and the Tomita–Takesaki modular group L Giorgetti, AJ Parzygnat, A Ranallo https://arxiv.org/pdf/2112.03129.pdf, 2021 | 11 | 2021 |
| The 3-isometric lifting theorem S McCullough, B Russo Integral Equations and Operator Theory 84, 69-87, 2016 | 11 | 2016 |
| Convergence of weak-SINDy surrogate models BP Russo, MP Laiu SIAM Journal on Applied Dynamical Systems 23 (2), 1017-1051, 2024 | 10 | 2024 |
| Liouville Operators over the Hardy Space BP Russo, JA Rosenfeld Journal of Mathematical Analysis and Applications 508 (2), 2021 | 9 | 2021 |
| Non-commutative disintegrations: existence and uniqueness in finite dimensions AJ Parzygnat, BP Russo Journal of Noncommutative Geometry, 2023 | 6 | 2023 |
| Lifting commuting 3-isometric tuples B Russo Operators and Matrices 11 (2), 2017 | 5 | 2017 |
| Streaming Compression of Scientific Data via weak-SINDy BP Russo, MP Laiu, R Archibald arXiv preprint arXiv:2308.14962, 2023 | 3 | 2023 |
| Fault Detection via Occupation Kernel Principal Component Analysis Z Morrison, BP Russo, Y Lian, R Kamalapurkar IEEE Control Systems Letters 7, 2695-2700, 2023 | 2 | 2023 |
| Theoretical Foundations for the Dynamic Mode Decomposition of High Order Dynamical Systems JA Rosenfeld, BP Russo, R Kamalapurkar arXiv preprint arXiv:2101.02646, 2021 | 2 | 2021 |
| Weighted Composition Operators for Learning Nonlinear Dynamics BP Russo, DA Messenger, D Bortz, JA Rosenfeld IFAC-PapersOnLine 58 (17), 97-102, 2024 | 1 | 2024 |
| Occupation Kernel Hilbert Spaces for Fractional Order Liouville Operators and Dynamic Mode Decomposition JA Rosenfeld, B Russo, X Li arXiv preprint arXiv:2102.13266, 2021 | 1 | 2021 |
| Occupation Kernel Hilbert Spaces and the Spectral Analysis of Nonlocal Operators. JA Rosenfeld, B Russo, X Li CoRR, 2021 | 1 | 2021 |
| StOKeDMD: Streaming Occupation kernel dynamic mode decomposition EH Gonzalez, BP Russo, MP Laiu, R Archibald Applied Mathematics for Modern Challenges 2 (4), 433-464, 2024 | | 2024 |
| Kernelized approaches to streaming compression of scientific data BP Russo, R Archibald Applied Mathematics for Modern Challenges 2 (3), 322-347, 2024 | | 2024 |
| Uncertainty Quantification for Model Predictive Control of Tokamak Plasma Boundary Simulations with SOLPS-ITER S De Pascuale, V Zankin, J Lore, B Russo, P Laiu, B Phathanapirom, ... Bulletin of the American Physical Society, 2022 | | 2022 |
Joel A. RosenfeldAssociate Professor, Department of Mathematics and Statistics, University of South FloridaE-mailová adresa ověřena na: usf.edu
