2026
Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection
ICML 2026poster
Time series prototype learning is fundamentally challenged by observational ambiguity. Discrete architectures fail to resolve this, as they lack the capacity to decouple stochastic noise from continuous dynamics. Furthermore, rigid closed-set assumptions fail to capture unseen diversity. To address …