Luca Moschella

According to our database, Luca Moschella authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

From Charts to Atlas: Merging Latent Spaces into One.

Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà

CoRR, 2023

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.

Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà

CoRR, 2023

CaSpeR: Latent Spectral Regularization for Continual Learning.

Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara

CoRR, 2023

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training.

Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Latent Space Translation via Semantic Alignment.

Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Relative representations enable zero-shot latent space communication.

Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Bootstrapping Parallel Anchors for Relative Representations.

Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Explanatory Learning: Beyond Empiricism in Neural Networks.

Antonio Norelli, Giorgio Mariani, Luca Moschella, Andrea Santilli, Giambattista Parascandolo, Simone Melzi, Emanuele Rodolà

CoRR, 2022

Learning Spectral Unions of Partial Deformable 3D Shapes.

Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà

Comput. Graph. Forum, 2022

Metric Based Few-Shot Graph Classification.

Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà

Proceedings of the Learning on Graphs Conference, 2022

2021

Spectral Unions of Partial Deformable 3D Shapes.

Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà

CoRR, 2021

Shape Registration in the Time of Transformers.

Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2017

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.

Maria De Marsico, Luca Moschella, Andrea Sterbini, Marco Temperini

Proceedings of the 16th International Conference on Information Technology Based Higher Education and Training, 2017

Effects of Network Topology on the OpenAnswer's Bayesian Model of Peer Assessment.

Maria De Marsico, Luca Moschella, Andrea Sterbini, Marco Temperini

Proceedings of the Data Driven Approaches in Digital Education, 2017