2026
Mechanistic Independence: A Principle for Identifiable Disentangled Representations
ICLR 2026poster
*Disentangled representations* seek to recover latent factors of variation underlying observed data, yet their *identifiability* is still not fully understood. We introduce a unified framework in which disentanglement is achieved through *mechanistic independence*, which characterizes latent factors…