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cs.LG2026
Factorized Neural Operators Decompose Dynamic and Persistent Responses
Hao Tang, Yuechen Duan, Jiongyu Zhu +3
Physical systems often exhibit heterogeneous mechanisms, where rapidly evolving dynamics coexist with persistent structures. Capturing such multiscale physical behavior remains cha…
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…