Publications

Preprints

Jonah Botvinick-Greenhouse. “Invariant Measures for Data-Driven Dynamical System Identification: Analysis and Application”. arXiv preprint arXiv:2502.05204 (2025).
Jonah Botvinick-Greenhouse, Wael H. Ali, Mouhacine Benosman, and Saviz Mowlavi. AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition. arXiv preprint arXiv:2510.08924 (2025).

Journal Articles

Jonah Botvinick-Greenhouse, Maria Oprea, Romit Maulik, and Yunan Yang. Measure-Theoretic Time-Delay Embedding. J Stat Phys 192, 171 (2025).
Jonah Botvinick-Greenhouse, Robert Martin, and Yunan Yang. Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification. Physical Review Letters, 135(16), 167202 (2025).
Jonah Botvinick-Greenhouse, Yunan Yang, and Romit Maulik. “Generative modeling of time-dependent densities via optimal transport and projection pursuit”. Chaos: An Interdisciplinary Journal of Nonlinear Science 33.10 (2023).
Jonah Botvinick-Greenhouse, Robert Martin, and Yunan Yang. “Learning dynamics on invariant measures using PDE-constrained optimization”. Chaos: An Interdisciplinary Journal of Nonlinear Science 33.6 (2023).
Aaron Kirtland, Jonah Botvinick-Greenhouse, Marianne DeBrito, Megan Osborne, Casey Johnson, Robert S Martin, Samuel J Araki, and Daniel Q Eckhardt. “An unstructured mesh approach to nonlinear noise reduction for coupled systems”. SIAM Journal on Applied Dynamical Systems 22.4, pp. 2927–2944 (2023).
Jonah Botvinick-Greenhouse and Troy Shinbrot. “Juggling dynamics”. Physics Today 73.2, pp. 62–63 (2020).