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2020 – today
- 2023
[c7]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: 1510-1514- [c6]Andrea Bragagnolo, Enzo Tartaglione, Gianluca Dalmasso, Marco Grangetto:
A round-trip journey in pruned artificial neural networks. Ital-IA 2023: 561-566 - 2022
- [j3]Enzo Tartaglione
, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto:
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks. Neural Networks 146: 230-237 (2022) - [j2]Andrea Bragagnolo, Carlo Alberto Barbano:
Simplify: A Python library for optimizing pruned neural networks. SoftwareX 17: 100907 (2022) - [j1]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): 7237-7250 (2022) - [c5]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: 2491-2495 - [c4]Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto:
To update or not to update? Neurons at equilibrium in deep models. NeurIPS 2022 - [i4]Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto:
To update or not to update? Neurons at equilibrium in deep models. CoRR abs/2207.09455 (2022) - 2021
- [c3]Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
On the Role of Structured Pruning for Neural Network Compression. ICIP 2021: 3527-3531 - [i3]Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto:
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks. CoRR abs/2102.03773 (2021) - 2020
- [c2]Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto:
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima. ICANN (2) 2020: 67-78 - [i2]Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto:
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima. CoRR abs/2004.14765 (2020) - [i1]Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto:
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks. CoRR abs/2011.09905 (2020)
2010 – 2019
- 2018
- [c1]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: 893-898
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