An Invariant Compiler for Neural ODEs in AI-Accelerated Scientific Simulation
arXiv:2603.23861v1 Announce Type: new
Abstract: Neural ODEs are increasingly used as continuous-time models for scientific and sensor data, but unconstrained neural ODEs can drift and violate domain invariants (e.g., conservation laws), yielding physi…