2 papers
cs.LG2026
Absolute abstraction: a renormalisation group approach
Carlo Orientale Caputo, Elias Seiffert, Enrico Frausin +1
Abstraction is the process of extracting the essential features from raw data while ignoring irrelevant details. It is well known that abstraction emerges with depth in neural netw…
cs.LG2025
Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning
Fariba Jangjoo, Matteo Marsili, Yasser Roudi
Closed-loop learning is the process of repeatedly estimating a model from data generated from the model itself. It is receiving great attention due to the possibility that large ne…