5 papers
Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective
Nicola Aladrah, Emanuele Ballarin, Matteo Biagetti +3
Can we design a model such that its stochastic training favours a desired class of solutions without enforcing an explicit penalty? Under suitable conditions, the interplay between…
Machine Learning Catalysis of Quantum Tunneling
Renzo Testa, Alex Rodriguez, Alberto d'Onofrio +3
Optimizing the probability of quantum tunneling between two states, while keeping the resources of the underlying physical system constant, is a task of key importance due to its c…
Catalysis of quantum tunneling by ancillary system learning
Renzo Testa, Alex Rodriguez, Alberto d'Onofrio +3
Given the key role that quantum tunneling plays in a wide range of applications, a crucial objective is to maximize the probability of tunneling from one quantum state/level to ano…
Local Search, Semantics, and Genetic Programming: a Global Analysis
Fabio Anselmi, Mauro Castelli, Alberto d'Onofrio +3
Geometric Semantic Geometric Programming (GSGP) is one of the most prominent Genetic Programming (GP) variants, thanks to its solid theoretical background, the excellent performanc…
Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias
Lorenzo Basile, Nikos Karantzas, Alberto d'Onofrio +4
Despite their impressive performance in classification tasks, neural networks are known to be vulnerable to adversarial attacks, subtle perturbations of the input data designed to…