2 papers
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…
cs.LG2024
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…