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 | 857 | 2022 |
Shape registration in the time of transformers G Trappolini, L Cosmo, L Moschella, R Marin, S Melzi, E Rodolà Advances in Neural Information Processing Systems 34, 5731-5744, 2021 | 55 | 2021 |
Relative representations enable zero-shot latent space communication L Moschella, V Maiorca, M Fumero, A Norelli, F Locatello, E Rodola The Eleventh International Conference on Learning Representations, 2023 | 49 | 2023 |
Asif: Coupled data turns unimodal models to multimodal without training A Norelli, M Fumero, V Maiorca, L Moschella, E Rodolà, F Locatello Advances in Neural Information Processing Systems 36, 2024 | 17 | 2024 |
Metric based few-shot graph classification D Crisostomi, S Antonelli, V Maiorca, L Moschella, R Marin, E Rodolà Learning on Graphs Conference, 33: 1-33: 22, 2022 | 7 | 2022 |
Learning spectral unions of partial deformable 3D shapes L Moschella, S Melzi, L Cosmo, F Maggioli, O Litany, M Ovsjanikov, ... Computer Graphics Forum 41 (2), 407-417, 2022 | 7 | 2022 |
Latent space translation via semantic alignment V Maiorca, L Moschella, A Norelli, M Fumero, F Locatello, E Rodolà Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Effects of Network Topology on the OpenAnswer’s Bayesian Model of Peer Assessment M De Marsico, L Moschella, A Sterbini, M Temperini European Conference on Technology Enhanced Learning, 385-390, 2017 | 3 | 2017 |
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication I Cannistraci, L Moschella, M Fumero, V Maiorca, E Rodolà arXiv preprint arXiv:2310.01211, 2023 | 2 | 2023 |
CaSpeR: Latent spectral regularization for continual learning E Frascaroli, R Benaglia, M Boschini, L Moschella, C Fiorini, E Rodola, ... arXiv preprint arXiv:2301.03345, 2023 | 2 | 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 |
Zero-Shot Stitching in Reinforcement Learning using Relative Representations AP Ricciardi, V Maiorca, L Moschella, R Marin, E Rodolà arXiv preprint arXiv:2404.12917, 2024 | 1 | 2024 |
Infusing invariances in neural representations I Cannistraci, M Fumero, L Moschella, V Maiorca, E Rodolà | 1 | 2023 |
Latent spectral regularization for continual learning E Frascaroli, R Benaglia, M Boschini, L Moschella, C Fiorini, E Rodolà, ... Pattern Recognition Letters, 2024 | | 2024 |
Latent Space Translation via Inverse Relative Projection V Maiorca, L Moschella, M Fumero, F Locatello, E Rodolà arXiv preprint arXiv:2406.15057, 2024 | | 2024 |
Latent Communication in Artificial Neural Networks L Moschella arXiv preprint arXiv:2406.11014, 2024 | | 2024 |
From Charts to Atlas: Merging Latent Spaces into One D Crisostomi, I Cannistraci, L Moschella, P Barbiero, M Ciccone, P Liò, ... arXiv preprint arXiv:2311.06547, 2023 | | 2023 |
Bootstrapping Parallel Anchors for Relative Representations I Cannistraci, L Moschella, V Maiorca, M Fumero, A Norelli, E Rodolà arXiv preprint arXiv:2303.00721, 2023 | | 2023 |
Performance variations of the Bayesian model of peer-assessment implemented in OpenAnswer response to modifications of the number of peers assessed and of the quality of the class M De Marsico, L Moschella, A Sterbini, M Temperini 2017 16th International Conference on Information Technology Based Higher …, 2017 | | 2017 |
Supplementary Materials Shape Registration in the Time of Transformers G Trappolini, L Cosmo, L Moschella, R Marin, S Melzi, E Rodolà | | |