Entropic gradient descent algorithms and wide flat minima. - Fabrizio Pittorino; Carlo Lucibello; Christoph Feinauer; Enrico M. Malatesta; Gabriele Perugini; Carlo Baldassi; Matteo Negri; Elizaveta Demyanenko; Riccardo Zecchina (CoRR, 2020)

Shaping the learning landscape in neural networks around wide flat minima. - Carlo Baldassi; Fabrizio Pittorino; Riccardo Zecchina (Proc. Natl. Acad. Sci. USA, 2020)

Entropic gradient descent algorithms and wide flat minima. - Fabrizio Pittorino; Carlo Lucibello; Christoph Feinauer; Gabriele Perugini; Carlo Baldassi; Elizaveta Demyanenko; Riccardo Zecchina (ICLR, 2021)

Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. - Fabrizio Pittorino; Antonio Ferraro; Gabriele Perugini; Christoph Feinauer; Carlo Baldassi; Riccardo Zecchina (ICML, 2022)

Deep learning via message passing algorithms based on belief propagation. - Carlo Lucibello; Fabrizio Pittorino; Gabriele Perugini; Riccardo Zecchina (Mach. Learn. Sci. Technol., 2022)

The star-shaped space of solutions of the spherical negative perceptron. - Brandon Livio Annesi; Clarissa Lauditi; Carlo Lucibello; Enrico M. Malatesta; Gabriele Perugini; Fabrizio Pittorino; Luca Saglietti (CoRR, 2023)

Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting. - Francesco Puoti; Fabrizio Pittorino; Manuel Roveri (AIMLSystems, 2024)

FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness. - Matteo Gambella; Fabrizio Pittorino; Manuel Roveri (IJCNN, 2024)

Training Multi-Layer Binary Neural Networks With Local Binary Error Signals. - Luca Colombo; Fabrizio Pittorino; Manuel Roveri (CoRR, 2024)

EmbBERT-Q: Breaking Memory Barriers in Embedded NLP. - Riccardo Bravin; Massimo Pavan; Hazem Hesham Yousef Shalby; Fabrizio Pittorino; Manuel Roveri (CoRR, 2025)

Architecture-Aware Minimization (A2M): How to Find Flat Minima in Neural Architecture Search. - Matteo Gambella; Fabrizio Pittorino; Manuel Roveri (CoRR, 2025)