| Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data E Tartaglione, CA Barbano, C Berzovini, M Calandri, M Grangetto Int. J. Environ. Res. Public Health 2020 17 (18), 6933, 2020 | 235 | 2020 |
| EnD: Entangling and Disentangling deep representations for bias correction E Tartaglione, CA Barbano, M Grangetto IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 140 | 2021 |
| Learning sparse neural networks via sensitivity-driven regularization E Tartaglione, S Lepsøy, A Fiandrotti, G Francini Advances in Neural Information Processing Systems, 3878-3888, 2018 | 99 | 2018 |
| Compressing explicit voxel grid representations: fast nerfs become also small CL Deng, E Tartaglione Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 54 | 2023 |
| Delving in the loss landscape to embed robust watermarks into neural networks E Tartaglione, M Grangetto, D Cavagnino, M Botta 2020 25th International Conference on Pattern Recognition (ICPR), 1243-1250, 2021 | 43 | 2021 |
| Unitopatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading CA Barbano, D Perlo, E Tartaglione, A Fiandrotti, L Bertero, P Cassoni, ... 2021 IEEE International Conference on Image Processing (ICIP), 76-80, 2021 | 40 | 2021 |
| Unbiased Supervised Contrastive Learning CA Barbano, B Dufumier, E Tartaglione, M Grangetto, P Gori The Eleventh International Conference on Learning Representations (ICLR), 2022 | 38 | 2022 |
| Loss-based sensitivity regularization: towards deep sparse neural networks E Tartaglione, A Bragagnolo, A Fiandrotti, M Grangetto Neural Networks 146, 230-237, 2022 | 36 | 2022 |
| Packed-Ensembles for Efficient Uncertainty Estimation O Laurent, A Lafage, E Tartaglione, G Daniel, JM Martinez, A Bursuc, ... The Eleventh International Conference on Learning Representations (ICLR), 2022 | 35 | 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, 2021 | 28 | 2021 |
| Role of synaptic stochasticity in training low-precision neural networks C Baldassi, F Gerace, HJ Kappen, C Lucibello, L Saglietti, E Tartaglione, ... Physical review letters 120 (26), 268103, 2018 | 24 | 2018 |
| Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? Z Liao, V Quétu, VT Nguyen, E Tartaglione Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 22 | 2023 |
| 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 | 19 | 2020 |
| A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images CA Barbano, E Tartaglione, C Berzovini, M Calandri, M Grangetto International Conference on Image Analysis and Processing, 173-184, 2022 | 16 | 2022 |
| 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 | 16 | 2021 |
| Bridging the gap between debiasing and privacy for deep learning CA Barbano, E Tartaglione, M Grangetto Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 12 | 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, 2022 | 11 | 2022 |
| Weighted Ensemble Models Are Strong Continual Learners IE Marouf, S Roy, E Tartaglione, S Lathuilière ECCV (Oral) 2024, 2023 | 10 | 2023 |
| DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? V Quétu, E Tartaglione Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14749 …, 2024 | 9* | 2024 |
| Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke UA Gava, F D'Agata, E Tartaglione, M Grangetto, F Bertolino, ... Frontiers in Neuroinformatics 17, 2023 | 9 | 2023 |
