| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1352 | 2022 |
| Multi-source diffusion models for simultaneous music generation and separation G Mariani, I Tallini, E Postolache, M Mancusi, L Cosmo, E Rodolà arXiv preprint arXiv:2302.02257, 2023 | 39 | 2023 |
| Generating Adversarial Surfaces via Band‐Limited Perturbations G Mariani, L Cosmo, AM Bronstein, E Rodola Computer Graphics Forum 39 (5), 253-264, 2020 | 14 | 2020 |
| Latent autoregressive source separation E Postolache, G Mariani, M Mancusi, A Santilli, L Cosmo, E Rodolà Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9444-9452, 2023 | 11 | 2023 |
| Generalized multi-source inference for text conditioned music diffusion models E Postolache, G Mariani, L Cosmo, E Benetos, E Rodolà ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 9 | 2024 |
| Cocola: Coherence-oriented contrastive learning of musical audio representations R Ciranni, G Mariani, M Mancusi, E Postolache, G Fabbro, E Rodolà, ... arXiv preprint arXiv:2404.16969, 2024 | 5 | 2024 |
| Explanatory learning: Beyond empiricism in neural networks A Norelli, G Mariani, L Moschella, A Santilli, G Parascandolo, S Melzi, ... arXiv preprint arXiv:2201.10222, 2022 | 4 | 2022 |
| Unsupervised source separation via Bayesian inference in the latent domain M Mancusi, E Postolache, G Mariani, M Fumero, A Santilli, L Cosmo, ... arXiv preprint arXiv:2110.05313, 2021 | 3 | 2021 |