2026
TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning
ICML 2026poster
Temporal causal representation learning methods assume that causal mechanisms switch instantaneously between discrete domains, yet real-world systems often exhibit *continuous* mechanism transitions. For example, a vehicle's dynamics evolve gradually through a turning maneuver, and human gait shifts…