Miguel Liu-Schiaffini

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 5

Top Topics

Conditional Random Fields

Chaotic Dynamics

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar
Neural Operators with Localized Integral and Differential Kernels. CoRR (2024)
Miguel Liu-Schiaffini, Clare E. Singer, Nikola B. Kovachki, Tapio Schneider, Kamyar Azizzadenesheli, Anima Anandkumar
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces. CoRR (2023)
Kamyar Azizzadenesheli, Nikola B. Kovachki, Zongyi Li, Miguel Liu-Schiaffini, Jean Kossaifi, Anima Anandkumar
Neural Operators for Accelerating Scientific Simulations and Design. CoRR (2023)
Zongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Learning Chaotic Dynamics in Dissipative Systems. NeurIPS (2022)
Miguel Liu-Schiaffini, Gregory Ng, Cyril Grima, Duncan A. Young
Ice Thickness From Deep Learning and Conditional Random Fields: Application to Ice-Penetrating Radar Data With Radiometric Validation. IEEE Trans. Geosci. Remote. Sens. 60 (2022)