| Avalanche: an end-to-end library for continual learning V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 204 | 2021 |
| Efficient continual learning in neural networks with embedding regularization J Pomponi, S Scardapane, V Lomonaco, A Uncini Neurocomputing 397, 139-148, 2020 | 59 | 2020 |
| Pixle: a fast and effective black-box attack based on rearranging pixels J Pomponi, S Scardapane, A Uncini 2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022 | 34 | 2022 |
| DeepRICH: learning deeply Cherenkov detectors C Fanelli, J Pomponi Machine Learning: Science and Technology 1 (1), 015010, 2020 | 29 | 2020 |
| Bayesian neural networks with maximum mean discrepancy regularization J Pomponi, S Scardapane, A Uncini Neurocomputing 453, 428-437, 2021 | 18 | 2021 |
| Pseudo-rehearsal for continual learning with normalizing flows J Pomponi, S Scardapane, A Uncini arXiv preprint arXiv:2007.02443, 2020 | 12 | 2020 |
| Structured Ensembles: An approach to reduce the memory footprint of ensemble methods J Pomponi, S Scardapane, A Uncini Neural Networks 144, 407-418, 2021 | 9 | 2021 |
| Avalanche: an End-to-End Library for Continual Learning, in 2021 IEEE V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, T Hayes, ... CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2021 | 9 | 2021 |
| A probabilistic re-intepretation of confidence scores in multi-exit models J Pomponi, S Scardapane, A Uncini Entropy 24 (1), 1, 2021 | 8 | 2021 |
| Continual learning with invertible generative models J Pomponi, S Scardapane, A Uncini Neural Networks 164, 606-616, 2023 | 3 | 2023 |
| Conditional computation in neural networks: principles and research trends S Scardapane, A Baiocchi, A Devoto, V Marsocci, P Minervini, J Pomponi arXiv preprint arXiv:2403.07965, 2024 | 1 | 2024 |
| Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models J Pomponi, D Dántoni, N Alessandro, S Scardapane IEEE Access 11, 11298-11306, 2023 | 1 | 2023 |
| Centroids Matching: an efficient Continual Learning approach operating in the embedding space J Pomponi, S Scardapane, A Uncini arXiv preprint arXiv:2208.02048, 2022 | 1 | 2022 |
| Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning A Devoto, F Alvetreti, J Pomponi, P Di Lorenzo, P Minervini, ... arXiv preprint arXiv:2408.08670, 2024 | | 2024 |
| Joint or Disjoint: Mixing Training Regimes for Early-Exit Models B Krzepkowski, M Michaluk, F Szarwacki, P Kubaty, J Pomponi, ... arXiv preprint arXiv:2407.14320, 2024 | | 2024 |
| Adaptive Semantic Token Selection for AI-native Goal-oriented Communications A Devoto, S Petruzzi, J Pomponi, P Di Lorenzo, S Scardapane arXiv preprint arXiv:2405.02330, 2024 | | 2024 |
| Class incremental learning with probability dampening and cascaded gated classifier J Pomponi, A Devoto, S Scardapane arXiv preprint arXiv:2402.01262v3, 2024 | | 2024 |
| NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks M Gambella, J Pomponi, S Scardapane, M Roveri arXiv preprint arXiv:2401.13330, 2024 | | 2024 |
Simone ScardapaneAssistant Professor, Sapienza UniversityVerified email at uniroma1.it
