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 | 742 | 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 | 13 | 2023 |
Generating Adversarial Surfaces via Band‐Limited Perturbations G Mariani, L Cosmo, AM Bronstein, E Rodola Computer Graphics Forum 39 (5), 253-264, 2020 | 12 | 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 | 5 | 2023 |
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 | 2 | 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 | 1 | 2021 |