Fabrizio Pittorino

26 papers A* 4B 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active In-Context Learning for Tabular Foundation Models.
CoRR
Wilailuck Treerath, Fabrizio Pittorino
2026 A* conf
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic.
AAAI
Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Francesca Palermo, Diana Trojaniello, Manuel Roveri
2026 J jnl
EmbBERT: Attention under 2 MB memory.
Neural Networks
Riccardo Bravin, Massimo Pavan, Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Manuel Roveri
2026 A* conf
InfoQ: Mixed-Precision Quantization via Global Information Flow.
AAAI
Mehmet Emre Akbulut, Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Manuel Roveri
2026 J jnl
SQUAD: Scalable Quorum Adaptive Decisions via ensemble of early exit neural networks.
CoRR
Matteo Gambella, Fabrizio Pittorino, Giuliano Casale, Manuel Roveri
2025 J jnl
Architecture-Aware Minimization (A
CoRR
Matteo Gambella, Fabrizio Pittorino, Manuel Roveri
2025 J jnl
Architecture-aware minimization (A
Mach. Learn. Sci. Technol.
Matteo Gambella, Fabrizio Pittorino, Manuel Roveri
2025 J jnl
BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training.
CoRR
Luca Colombo, Fabrizio Pittorino, Daniele Zambon, Carlo Baldassi, Manuel Roveri, Cesare Alippi
2025 J jnl
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic.
CoRR
Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Francesca Palermo, Diana Trojaniello, Manuel Roveri
2025 J jnl
EmbBERT-Q: Breaking Memory Barriers in Embedded NLP.
CoRR
Riccardo Bravin, Massimo Pavan, Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Manuel Roveri
2025 J jnl
InfoQ: Mixed-Precision Quantization via Global Information Flow.
CoRR
Mehmet Emre Akbulut, Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Manuel Roveri
2025 J jnl
Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting.
CoRR
Francesco Puoti, Fabrizio Pittorino, Manuel Roveri
2025 J jnl
Training multi-layer binary neural networks with random local binary error signals.
Mach. Learn. Sci. Technol.
Luca Colombo, Fabrizio Pittorino, Manuel Roveri
2024 B conf
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness.
IJCNN
Matteo Gambella, Fabrizio Pittorino, Manuel Roveri
2024 J jnl
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness.
CoRR
Matteo Gambella, Fabrizio Pittorino, Manuel Roveri
2024 — conf
Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting.
AIMLSystems
Francesco Puoti, Fabrizio Pittorino, Manuel Roveri
2024 J jnl
Training Multi-Layer Binary Neural Networks With Local Binary Error Signals.
CoRR
Luca Colombo, Fabrizio Pittorino, Manuel Roveri
2023 J jnl
The star-shaped space of solutions of the spherical negative perceptron.
CoRR
Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M. Malatesta, Gabriele Perugini, Fabrizio Pittorino, Luca Saglietti
2022 A* conf
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry.
ICML
Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina
2022 J jnl
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry.
CoRR
Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina
2022 J jnl
Deep learning via message passing algorithms based on belief propagation.
Mach. Learn. Sci. Technol.
Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
2021 J jnl
Deep learning via message passing algorithms based on belief propagation.
CoRR
Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
2021 A* conf
Entropic gradient descent algorithms and wide flat minima.
ICLR
Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina
2020 J jnl
Entropic gradient descent algorithms and wide flat minima.
CoRR
Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Enrico M. Malatesta, Gabriele Perugini, Carlo Baldassi, Matteo Negri, Elizaveta Demyanenko, Riccardo Zecchina
2020 J jnl
Shaping the learning landscape in neural networks around wide flat minima.
Proc. Natl. Acad. Sci. USA
Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina
2019 J jnl
Shaping the learning landscape in neural networks around wide flat minima.
CoRR
Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina