Andrea Bragagnolo

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Pruning Algorithm

Structured Sparsity

Top Venues

Publications

Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione
Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. ICCV (Workshops) (2023)
Andrea Bragagnolo, Enzo Tartaglione, Gianluca Dalmasso, Marco Grangetto
A round-trip journey in pruned artificial neural networks. Ital-IA (2023)
Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
To update or not to update? Neurons at equilibrium in deep models. NeurIPS (2022)
Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
To update or not to update? Neurons at equilibrium in deep models. CoRR (2022)
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Andrea Bragagnolo, Carlo Alberto Barbano
Simplify: A Python library for optimizing pruned neural networks. SoftwareX 17 (2022)
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks. Neural Networks 146 (2022)
José Flich, Laura Medina, Izan Catalán, Carles Hernández, Andrea Bragagnolo, Fabrice Auzanneau, David Briand
Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization. ICIP (2022)
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks. CoRR (2021)
Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
On the Role of Structured Pruning for Neural Network Compression. ICIP (2021)
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima. CoRR (2020)
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima. ICANN (2) (2020)
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks. CoRR (2020)
Hongyue Sun, Giulia Pedrielli, Guanglei Zhao, Andrea Bragagnolo, Chi Zhou, Rong Pan, Wenyao Xu
Cyber-coordinated Simulation Models for Multi-stage Additive Manufacturing of Energy Products. CASE (2018)