Learning Chaotic Dynamics in Dissipative Systems. - Zongyi Li; Miguel Liu-Schiaffini; Nikola B. Kovachki; Kamyar Azizzadenesheli; Burigede Liu; Kaushik Bhattacharya; Andrew M. Stuart; Anima Anandkumar (NeurIPS, 2022)

Ice Thickness From Deep Learning and Conditional Random Fields: Application to Ice-Penetrating Radar Data With Radiometric Validation. - Miguel Liu-Schiaffini; Gregory Ng; Cyril Grima; Duncan A. Young (IEEE Trans. Geosci. Remote. Sens., 2022)

Learning Dissipative Dynamics in Chaotic Systems (Datasets). - Zongyi Li; Miguel Liu-Schiaffini; Nikola Borislavov Kovachki; Burigede Liu; Kamyar Azizzadenesheli; Kaushik Bhattacharya; Andrew M. Stuart; Anima Anandkumar (Zenodo, 2022)

Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces. - Miguel Liu-Schiaffini; Clare E. Singer; Nikola B. Kovachki; Tapio Schneider; Kamyar Azizzadenesheli; Anima Anandkumar (CoRR, 2023)

Neural Operators for Accelerating Scientific Simulations and Design. - Kamyar Azizzadenesheli; Nikola B. Kovachki; Zongyi Li; Miguel Liu-Schiaffini; Jean Kossaifi; Anima Anandkumar (CoRR, 2023)

Neural Operators with Localized Integral and Differential Kernels. - Miguel Liu-Schiaffini; Julius Berner; Boris Bonev; Thorsten Kurth; Kamyar Azizzadenesheli; Anima Anandkumar (ICML, 2024)

Unifying Subsampling Pattern Variations for Compressed Sensing MRI with Neural Operators. - Armeet Singh Jatyani; Jiayun Wang; Zihui Wu; Miguel Liu-Schiaffini; Bahareh Tolooshams; Anima Anandkumar (CoRR, 2024)

A Library for Learning Neural Operators. - Jean Kossaifi; Nikola B. Kovachki; Zongyi Li; David Pitt; Miguel Liu-Schiaffini; Robert Joseph George; Boris Bonev; Kamyar Azizzadenesheli; Julius Berner; Anima Anandkumar (CoRR, 2024)

A Unified Model for Compressed Sensing MRI Across Undersampling Patterns. - Armeet Singh Jatyani; Jiayun Wang; Aditi Chandrashekar; Zihui Wu; Miguel Liu-Schiaffini; Bahareh Tolooshams; Anima Anandkumar (CVPR, 2025)

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning (Dataset). - Julius Berner; Miguel Liu-Schiaffini; Jean Kossaifi; Valentin Duruisseaux; Boris Bonev; Kamyar Azizzadenesheli; Anima Anandkumar (Zenodo, 2025)

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning. - Julius Berner; Miguel Liu-Schiaffini; Jean Kossaifi; Valentin Duruisseaux; Boris Bonev; Kamyar Azizzadenesheli; Anima Anandkumar (CoRR, 2025)