Spectral-inspired Operator Learning with Limited Data and Unknown Physics
DGX agentarXiv:2505.21573v3 Announce Type: replace-cross Abstract: Learning PDE dynamics from limited data with unknown physics is challenging. Existing neural PDE solvers either require large datasets or rely