Liu-Schiaffini, Miguel

6 publications

CVPR 2025 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

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

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

ICMLW 2024 Towards Enforcing Hard Physics Constraints in Operator Learning Frameworks Valentin Duruisseaux, Miguel Liu-Schiaffini, Julius Berner, Anima Anandkumar

NeurIPSW 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

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