2026
Identifiability and recoverability in self-supervised models
ICLR 2026poster
Self-supervised models exhibit a surprising stability in their internal representations. Whereas most prior work treats this stability as a single property, we formalize it as two distinct concepts: **statistical identifiability** (consistency of representations across runs) and **structural identi…