Effects of Network Topology on the OpenAnswer's Bayesian Model of Peer Assessment. - Maria De Marsico; Luca Moschella; Andrea Sterbini; Marco Temperini (EC-TEL, 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 (ITHET, 2017)

Shape Registration in the Time of Transformers. - Giovanni Trappolini; Luca Cosmo; Luca Moschella; Riccardo Marin; Simone Melzi; Emanuele Rodolà (NeurIPS, 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)

Metric Based Few-Shot Graph Classification. - Donato Crisostomi; Simone Antonelli; Valentino Maiorca; Luca Moschella; Riccardo Marin; Emanuele Rodolà (LoG, 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)

Explanatory Learning: Beyond Empiricism in Neural Networks. - Antonio Norelli; Giorgio Mariani; Luca Moschella; Andrea Santilli; Giambattista Parascandolo; Simone Melzi; Emanuele Rodolà (CoRR, 2022)

Bootstrapping Parallel Anchors for Relative Representations. - Irene Cannistraci; Luca Moschella; Valentino Maiorca; Marco Fumero; Antonio Norelli; Emanuele Rodolà (Tiny Papers @ ICLR, 2023)

Relative representations enable zero-shot latent space communication. - Luca Moschella; Valentino Maiorca; Marco Fumero; Antonio Norelli; Francesco Locatello; Emanuele Rodolà (ICLR, 2023)

From charts to atlas: Merging latent spaces into one. - Donato Crisostomi; Irene Cannistraci; Luca Moschella; Pietro Barbiero; Marco Ciccone; Pietro Liò; Emanuele Rodolà (NeurReps, 2023)

Latent Space Translation via Semantic Alignment. - Valentino Maiorca; Luca Moschella; Antonio Norelli; Marco Fumero; Francesco Locatello; Emanuele Rodolà (NeurIPS, 2023)

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training. - Antonio Norelli; Marco Fumero; Valentino Maiorca; Luca Moschella; Emanuele Rodolà; Francesco Locatello (NeurIPS, 2023)

CaSpeR: Latent Spectral Regularization for Continual Learning. - Emanuele Frascaroli; Riccardo Benaglia; Matteo Boschini; Luca Moschella; Cosimo Fiorini; Emanuele Rodolà; Simone Calderara (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication. - Irene Cannistraci; Luca Moschella; Marco Fumero; Valentino Maiorca; Emanuele Rodolà (ICLR, 2024)

Zero-Shot Stitching in Reinforcement Learning using Relative Representations. - Antonio Pio Ricciardi; Valentino Maiorca; Luca Moschella; Riccardo Marin; Emanuele Rodolà (CoRR, 2024)

Latent Communication in Artificial Neural Networks. - Luca Moschella (CoRR, 2024)

Latent Space Translation via Inverse Relative Projection. - Valentino Maiorca; Luca Moschella; Marco Fumero; Francesco Locatello; Emanuele Rodolà (CoRR, 2024)

Latent spectral regularization for continual learning. - Emanuele Frascaroli; Riccardo Benaglia; Matteo Boschini; Luca Moschella; Cosimo Fiorini; Emanuele Rodolà; Simone Calderara (Pattern Recognit. Lett., 2024)

Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces. - Souhail Hadgi; Luca Moschella; Andrea Santilli; Diego Gomez 003; Qixing Huang; Emanuele Rodolà; Simone Melzi; Maks Ovsjanikov (CVPR, 2025)

Preface of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models. - Clémentine C. J. Dominé; Marco Fumero; Zorah Lähner; Donato Crisostomi; Luca Moschella; Kimberly Stachenfeld (UniReps, 2025)

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching. - Antonio Pio Ricciardi; Valentino Maiorca; Luca Moschella; Riccardo Marin; Emanuele Rodolà (CoRR, 2025)

Navigating the Latent Space Dynamics of Neural Models. - Marco Fumero; Luca Moschella; Emanuele Rodolà; Francesco Locatello (CoRR, 2025)