| Learning Chaotic Dynamics in Dissipative Systems Z Li, M Liu-Schiaffini, NB Kovachki, K Azizzadenesheli, B Liu, ... Advances in Neural Information Processing Systems, 2022 | 30* | 2022 |
| Neural operators for accelerating scientific simulations and design K Azizzadenesheli, N Kovachki, Z Li, M Liu-Schiaffini, J Kossaifi, ... Nature Reviews Physics, 1-9, 2024 | 10 | 2024 |
| Ice thickness from deep learning and conditional random fields: application to ice-penetrating radar data with radiometric validation M Liu-Schiaffini, G Ng, C Grima, D Young IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 7 | 2022 |
| Tipping point forecasting in non-stationary dynamics on function spaces M Liu-Schiaffini, CE Singer, N Kovachki, T Schneider, K Azizzadenesheli, ... arXiv preprint arXiv:2308.08794, 2023 | 2 | 2023 |
| Neural Operators with Localized Integral and Differential Kernels M Liu-Schiaffini, J Berner, B Bonev, T Kurth, K Azizzadenesheli, ... arXiv preprint arXiv:2402.16845, 2024 | 1 | 2024 |
