| Loss-based sensitivity regularization: towards deep sparse neural networks E Tartaglione, A Bragagnolo, A Fiandrotti, M Grangetto Neural Networks 146, 230-237, 2022 | 34 | 2022 |
| Serene: Sensitivity-based regularization of neurons for structured sparsity in neural networks E Tartaglione, A Bragagnolo, F Odierna, A Fiandrotti, M Grangetto IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7237-7250, 2021 | 26 | 2021 |
| Simplify: A Python library for optimizing pruned neural networks A Bragagnolo, CA Barbano SoftwareX 17, 100907, 2022 | 17 | 2022 |
| Pruning artificial neural networks: A way to find well-generalizing, high-entropy sharp minima E Tartaglione, A Bragagnolo, M Grangetto Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 17 | 2020 |
| On the role of structured pruning for neural network compression A Bragagnolo, E Tartaglione, A Fiandrotti, M Grangetto 2021 IEEE International Conference on Image Processing (ICIP), 3527-3531, 2021 | 14 | 2021 |
| To update or not to update? neurons at equilibrium in deep models A Bragagnolo, E Tartaglione, M Grangetto Advances in neural information processing systems 35, 22149-22160, 2022 | 11 | 2022 |
| Efficient inference of image-based neural network models in reconfigurable systems with pruning and quantization J Flich, L Medina, I Catalán, C Hernández, A Bragagnolo, F Auzanneau, ... 2022 IEEE International Conference on Image Processing (ICIP), 2491-2495, 2022 | 8 | 2022 |
| Shannon strikes again! entropy-based pruning in deep neural networks for transfer learning under extreme memory and computation budgets G Spadaro, R Renzulli, A Bragagnolo, JH Giraldo, A Fiandrotti, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Method and apparatus for pruning neural networks E Tartaglione, M Grangetto, F Odierna, A Bragagnolo, A Fiandrotti US Patent App. 17/769,707, 2022 | 2 | 2022 |
| Exploring the Design and Implementation of Pruning Techniques for Deep Neural Networks A Bragagnolo Università degli Studi di Torino, 2023 | | 2023 |
| A round-trip journey in pruned artificial neural networks A Bragagnolo, E Tartaglione, G Dalmasso, M Grangetto CEUR WORKSHOP PROCEEDINGS 3486, 561-566, 2023 | | 2023 |
| HLSinf: Una Plataforma de Aceleración de Procesos de Inferencia en FPGA aplicado a Imágenes Médicas L Medina, I Catalán, J Flich, C Hernández, A Bragagnolo, F Auzanneau, ... | | |
| Structured Sparsity on Embedded Devices E Tartaglione, G Nuzzarello, A Bragagnolo, M Grangetto | | |
