Learning dynamics on invariant measures using PDE-constrained optimization J Botvinick-Greenhouse, R Martin, Y Yang Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (6), 2023 | 6 | 2023 |
An unstructured mesh approach to nonlinear noise reduction for coupled systems A Kirtland, J Botvinick-Greenhouse, M DeBrito, M Osborne, C Johnson, ... SIAM Journal on Applied Dynamical Systems 22 (4), 2927-2944, 2023 | 4 | 2023 |
Juggling dynamics J Botvinick-Greenhouse, T Shinbrot Physics today 73 (2), 62-63, 2020 | 4 | 2020 |
Generative modeling of time-dependent densities via optimal transport and projection pursuit J Botvinick-Greenhouse, Y Yang, R Maulik Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (10), 2023 | 3 | 2023 |
Invariant Measures for Data-Driven Dynamical System Identification: Analysis and Application J Botvinick-Greenhouse arXiv preprint arXiv:2502.05204, 2025 | | 2025 |
Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification J Botvinick-Greenhouse, R Martin, Y Yang arXiv preprint arXiv:2412.00589, 2024 | | 2024 |
Measure-Theoretic Time-Delay Embedding J Botvinick-Greenhouse, M Oprea, R Maulik, Y Yang arXiv preprint arXiv:2409.08768, 2024 | | 2024 |
Learning Dynamical Systems From Invariant Measures J Botvinick-Greenhouse, R Martin, Y Yang arXiv e-prints, arXiv: 2301.05193, 2023 | | 2023 |
An Unstructured Mesh Approach to Nonlinear Noise Reduction J Botvinick-Greenhouse, A Kirtland, M Osborne 2021 Joint Mathematics Meetings (JMM), 0 | | |