Fabrizio Pittorino

According to our database, Fabrizio Pittorino authored at least 21 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

What changes after deployment? A survey on On-device Learning in TinyML.

Massimo Pavan, Luca Pezzarossa, Fabrizio Pittorino, Manuel Roveri, Xenofon Fafoutis

CoRR, May, 2026

HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search.

Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

CoRR, May, 2026

Position Paper: From Edge AI to Adaptive Edge AI.

Fabrizio Pittorino, Manuel Roveri

CoRR, April, 2026

Active In-Context Learning for Tabular Foundation Models.

Wilailuck Treerath, Fabrizio Pittorino

CoRR, March, 2026

SQUAD: Scalable Quorum Adaptive Decisions via ensemble of early exit neural networks.

Matteo Gambella, Fabrizio Pittorino, Giuliano Casale, Manuel Roveri

CoRR, January, 2026

EmbBERT: Attention under 2 MB memory.

Riccardo Bravin, Massimo Pavan, Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Manuel Roveri

Neural Networks, 2026

DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic.

Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Francesca Palermo, Diana Trojaniello, Manuel Roveri

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

InfoQ: Mixed-Precision Quantization via Global Information Flow.

Mehmet Emre Akbulut, Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Manuel Roveri

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training.

Luca Colombo, Fabrizio Pittorino, Daniele Zambon, Carlo Baldassi, Manuel Roveri, Cesare Alippi

CoRR, December, 2025

EmbBERT-Q: Breaking Memory Barriers in Embedded NLP.

Riccardo Bravin, Massimo Pavan, Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Manuel Roveri

CoRR, February, 2025

Architecture-aware minimization (A²M): how to find flat minima in neural architecture search.

Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

Mach. Learn. Sci. Technol., 2025

Training multi-layer binary neural networks with random local binary error signals.

Luca Colombo, Fabrizio Pittorino, Manuel Roveri

Mach. Learn. Sci. Technol., 2025

2024

Training Multi-Layer Binary Neural Networks With Local Binary Error Signals.

Luca Colombo, Fabrizio Pittorino, Manuel Roveri

CoRR, 2024

FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness.

Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

Proceedings of the International Joint Conference on Neural Networks, 2024

Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting.

Francesco Puoti, Fabrizio Pittorino, Manuel Roveri

Proceedings of the 4th International Conference on AI-ML Systems, 2024

2023

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

2022

Deep learning via message passing algorithms based on belief propagation.

Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina

Mach. Learn. Sci. Technol., 2022

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

Proceedings of the International Conference on Machine Learning, 2022

2021

Entropic gradient descent algorithms and wide flat minima.

Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina

Proceedings of the 9th International Conference on Learning Representations, 2021

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, Enrico M. Malatesta, Gabriele Perugini, Carlo Baldassi, Matteo Negri, Elizaveta Demyanenko, Riccardo Zecchina

CoRR, 2020