5 papers
Distribution-Aware Robust Bilevel Optimization: Quantile-Guided Huber Updates in Two-Timescale Stochastic Approximation
Zhiyu Li, Xi Xuan, Davide Carbone
Bilevel optimization (BLO) is fundamental to hierarchical decision-making but suffers from critical instability under heavy-tailed stochastic noise. Existing variance-reduction tec…
Escaping the Variance Trap: Jacobian-Free Dynamics for Root-Finding Bilevel Optimization
Zhiyu Li, Xi Xuan, Davide Carbone
Many central machine learning tasks, from entropy tuning in reinforcement learning to equilibrating generative adversarial networks, are fundamentally stochastic root-finding probl…
Wavelet Scattering Transform and Fourier Representation for Offline Detection of Malicious Clients in Federated Learning
Alessandro Licciardi, Davide Leo, Davide Carbone
Federated Learning (FL) enables the training of machine learning models across decentralized clients while preserving data privacy. However, the presence of anomalous or corrupted…
Wavelet Scattering Transform for Gravitational Waves Analysis. An Application to Glitch Characterization
Alessandro Licciardi, Davide Carbone, Lamberto Rondoni +1
Gravitational waves, first predicted by Albert Einstein within the framework of general relativity, were confirmed in 2015 by the LIGO/Virgo collaboration, marking a pivotal breakt…
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database
Alessandro Licciardi, Davide Carbone
Marine mammal communication is a complex field, hindered by the diversity of vocalizations and environmental factors. The Watkins Marine Mammal Sound Database (WMMD) constitutes a…