Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization 事件

Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization arXiv:2605.29153v1 Announce Type: cross Abstract: Neural networks trained under different hyperparameter settings can fall into distinct training "regimes," with consistent behavior within regimes and qualitative differences across regimes. In this paper, we study such multi-regime behavior in scientific machine learning (SciML) models through a regime-aware diagnostic framework that jointly analyz