Luca Moschella
Luca Moschella
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Citata da
Citata da
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
Shape registration in the time of transformers
G Trappolini, L Cosmo, L Moschella, R Marin, S Melzi, E RodolÓ
Advances in Neural Information Processing Systems 34, 5731-5744, 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
Asif: Coupled data turns unimodal models to multimodal without training
A Norelli, M Fumero, V Maiorca, L Moschella, E Rodola, F Locatello
arXiv preprint arXiv:2210.01738, 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
Metric Based Few-Shot Graph Classification
D Crisostomi, S Antonelli, V Maiorca, L Moschella, R Marin, E RodolÓ
Learning on Graphs Conference, 33: 1-33: 22, 2022
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
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
CaSpeR: Latent spectral regularization for continual learning
E Frascaroli, R Benaglia, M Boschini, L Moschella, C Fiorini, E RodolÓ, ...
arXiv preprint arXiv:2301.03345, 2023
From Charts to Atlas: Merging Latent Spaces into One
D Crisostomi, I Cannistraci, L Moschella, P Barbiero, M Ciccone, P Li˛, ...
arXiv preprint arXiv:2311.06547, 2023
Latent Space Translation via Semantic Alignment
V Maiorca, L Moschella, A Norelli, M Fumero, F Locatello, E RodolÓ
arXiv preprint arXiv:2311.00664, 2023
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
I Cannistraci, L Moschella, M Fumero, V Maiorca, E RodolÓ
arXiv preprint arXiv:2310.01211, 2023
Zero-shot stitching in Reinforcement Learning using Relative Representations
AP Ricciardi, V Maiorca, L Moschella, E RodolÓ
Sixteenth European Workshop on Reinforcement Learning, 2023
Infusing invariances in neural representations
I Cannistraci, M Fumero, L Moschella, V Maiorca, E RodolÓ
Bootstrapping Parallel Anchors for Relative Representations
I Cannistraci, L Moschella, V Maiorca, M Fumero, A Norelli, E RodolÓ
arXiv preprint arXiv:2303.00721, 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 Higherá…, 2017
Supplementary Materials Shape Registration in the Time of Transformers
G Trappolini, L Cosmo, L Moschella, R Marin, S Melzi, E RodolÓ
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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