Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations S Schotthöfer, E Zangrando, J Kusch, G Ceruti, F Tudisco Advances in Neural Information Processing Systems 35, 20051-20063, 2022 | 19 | 2022 |
Robust low-rank training via approximate orthonormal constraints D Savostianova, E Zangrando, G Ceruti, F Tudisco Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Rank-adaptive spectral pruning of convolutional layers during training E Zangrando, S Schotthöfer, G Ceruti, J Kusch, F Tudisco arXiv preprint arXiv:2305.19059, 2023 | 3 | 2023 |
Neural Rank Collapse: Weight Decay and Small Within-Class Variability Yield Low-Rank Bias E Zangrando, P Deidda, S Brugiapaglia, N Guglielmi, F Tudisco arXiv preprint arXiv:2402.03991, 2024 | | 2024 |
HIJACK: Learning-based Strategies for Sound Classification Robustness to Adversarial Noise D Sweet, E Zangrando, F Meneghello 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 2023 | | 2023 |
Dynamical low-rank training of neural networks E ZANGRANDO | | 2022 |