2 papers
cs.LG2025
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion
Zhikai Wu, Sifan Wang, Shiyang Zhang +5
Operator learning for time-dependent partial differential equations (PDEs) has seen rapid progress in recent years, enabling efficient approximation of complex spatiotemporal dynam…
cs.LG2025
GeoFunFlow: Geometric Function Flow Matching for Inverse Operator Learning over Complex Geometries
Sifan Wang, Zhikai Wu, David van Dijk +1
Inverse problems governed by partial differential equations (PDEs) are crucial in science and engineering. They are particularly challenging due to ill-posedness, data sparsity, an…