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cs.LG2026
Neural Operators for Biomedical Spherical Heterogeneity
Hao Tang, Hao Chen, Hao Li +1
Spherical deep learning has been widely applied to a broad range of real-world problems. Existing approaches often face challenges in balancing strong spherical geometric inductive…
cs.LG2025
Geometric Laplace Neural Operator
Hao Tang, Jiongyu Zhu, Zimeng Feng +2
Neural operators have emerged as powerful tools for learning mappings between function spaces, enabling efficient solutions to partial differential equations across varying inputs…
cs.LG2025
Generalized Spherical Neural Operators: Green's Function Formulation
Hao Tang, Hao Chen, Chao Li
Neural operators offer powerful approaches for solving parametric partial differential equations, but extending them to spherical domains remains challenging due to the need to pre…