MOSCHELLA, LUCA
MOSCHELLA, LUCA
DIPARTIMENTO DI INFORMATICA
Bootstrapping Parallel Anchors for Relative Representations
2023 Cannistraci, Irene; Moschella, Luca; Maiorca, Valentino; Fumero, Marco; Norelli, Antonio; Rodolà, Emanuele
Effects of network topology on the OpenAnswer’s Bayesian model of peer assessment
2017 DE MARSICO, Maria; Moschella, Luca; Sterbini, Andrea; Temperini, Marco
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
2024 Cannistraci, Irene; Moschella, Luca; Fumero, Marco; Maiorca, Valentino; Rodolà, Emanuele
Latent communication in artificial neural networks
2024 Moschella, Luca
Latent Space Translation via Semantic Alignment
2023 Maiorca, Valentino; Moschella, Luca; Norelli, Antonio; Fumero, Marco; Locatello, Francesco; Rodola', Emanuele
Learning Spectral Unions of Partial Deformable 3D Shapes
2022 Moschella, Luca; Melzi, Simone; Cosmo, Luca; Maggioli, Filippo; Litany, Or; Ovsjanikov, Maks; Guibas, Leonidas; Rodolà, Emanuele
Metric Based Few-Shot Graph Classification
2022 Crisostomi, Donato; Antonelli, Simone; Maiorca, Valentino; Moschella, Luca; Marin, Riccardo; Rodola', Emanuele
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
2017 De Marsico, Maria; Moschella, Luca; Sterbini, Andrea; Temperini, Marco
Relative representations enable zero-shot latent space communication
2023 Moschella, Luca; Maiorca, Valentino; Fumero, Marco; Norelli, Antonio; Locatello, Francesco; Rodola', Emanuele
Shape Registration in the Time of Transformers
2021 Trappolini, Giovanni; Cosmo, Luca; Moschella, Luca; Marin, Riccardo; Melzi, Simone; Rodolà, Emanuele
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Bootstrapping Parallel Anchors for Relative Representations | 2023 | Cannistraci, Irene; Moschella, Luca; Maiorca, Valentino; Fumero, Marco; Norelli, Antonio; Rodolà, Emanuele | |
| Effects of network topology on the OpenAnswer’s Bayesian model of peer assessment | 2017 | DE MARSICO, Maria; Moschella, Luca; Sterbini, Andrea; Temperini, Marco | |
| From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication | 2024 | Cannistraci, Irene; Moschella, Luca; Fumero, Marco; Maiorca, Valentino; Rodolà, Emanuele | |
| Latent communication in artificial neural networks | 2024 | Moschella, Luca | |
| Latent Space Translation via Semantic Alignment | 2023 | Maiorca, Valentino; Moschella, Luca; Norelli, Antonio; Fumero, Marco; Locatello, Francesco; Rodola', Emanuele | |
| Learning Spectral Unions of Partial Deformable 3D Shapes | 2022 | Moschella, Luca; Melzi, Simone; Cosmo, Luca; Maggioli, Filippo; Litany, Or; Ovsjanikov, Maks; Guibas, Leonidas; Rodolà, Emanuele | |
| Metric Based Few-Shot Graph Classification | 2022 | Crisostomi, Donato; Antonelli, Simone; Maiorca, Valentino; Moschella, Luca; Marin, Riccardo; Rodola', Emanuele | |
| 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 | 2017 | De Marsico, Maria; Moschella, Luca; Sterbini, Andrea; Temperini, Marco | |
| Relative representations enable zero-shot latent space communication | 2023 | Moschella, Luca; Maiorca, Valentino; Fumero, Marco; Norelli, Antonio; Locatello, Francesco; Rodola', Emanuele | |
| Shape Registration in the Time of Transformers | 2021 | Trappolini, Giovanni; Cosmo, Luca; Moschella, Luca; Marin, Riccardo; Melzi, Simone; Rodolà, Emanuele |