BRAGAGNOLO, Andrea

BRAGAGNOLO, Andrea  

INFORMATICA  

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Titolo Data di pubblicazione Autore(i) File
A round-trip journey in pruned artificial neural networks 2023 Bragagnolo A.; Tartaglione E.; Dalmasso G.; Grangetto M.
Exploring the Design and Implementation of Pruning Techniques for Deep Neural Networks 2023 -
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks 2020 Enzo Tartaglione; Andrea Bragagnolo; Marco Grangetto; Skjalg Lepsoy
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks 2022 Tartaglione, Enzo; Bragagnolo, Andrea; Fiandrotti, Attilio; Grangetto, Marco
METHOD AND APPARATUS FOR PRUNING NEURAL NETWORKS 2019 BRAGAGNOLO Andrea; FIANDROTTI A; GRANGETTO Marco; ODIERNA Francesco; TARTAGLIONE Enzo
On the Role of Structured Pruning for Neural Network Compression 2021 Bragagnolo, Andrea; Tartaglione, Enzo; Fiandrotti, Attilio; Grangetto, Marco
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima 2020 Tartaglione E.; Bragagnolo A.; Grangetto M.
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks 2021 Tartaglione, Enzo; Bragagnolo, Andrea; Odierna, Francesco; Fiandrotti, Attilio; Grangetto, Marco
Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets 2023 Spadaro G.; Renzulli R.; Bragagnolo A.; Giraldo J.H.; Fiandrotti A.; Grangetto M.; Tartaglione E.
Simplify: A Python library for optimizing pruned neural networks In corso di stampa Bragagnolo, Andrea; Barbano, Carlo Alberto
To update or not to update? Neurons at equilibrium in deep models 2022 Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto