2 papers
cs.LG2025
Cooperative effects in feature importance of individual patterns: application to air pollutants and Alzheimer disease
M. Ontivero-Ortega, A. Fania, A. Lacalamita +3
Leveraging recent advances in the analysis of synergy and redundancy in systems of random variables, an adaptive version of the widely used metric Leave One Covariate Out (LOCO) ha…
quant-ph2025
Grokking as an entanglement transition in tensor network machine learning
Domenico Pomarico, Alfonso Monaco, Giuseppe Magnifico +11
Grokking is a intriguing phenomenon in machine learning where a neural network, after many training iterations with negligible improvement in generalization, suddenly achieves high…