"Computer Science - Machine Learning"

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training

CLIP proved that aligning visual and language spaces is key to solving many vision tasks without explicit training, but required to …

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

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training

Latent Space Translation via Semantic Alignment

Different neural models often exhibit similar latent spaces when exposed to semantically similar data; however, this inherent …

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

Latent Space Translation via Semantic Alignment

Relative representations enable zero-shot latent space communication

Neural networks embed the geometric structure of a data manifold lying in a high-dimensional space into latent representations. …

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

Relative representations enable zero-shot latent space communication

CaSpeR: Latent Spectral Regularization for Continual Learning

While biological intelligence grows organically as new knowledge is gathered throughout life, Artificial Neural Networks forget …

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

CaSpeR: Latent Spectral Regularization for Continual Learning

Learning Spectral Unions of Partial Deformable 3D Shapes

Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study …

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

Learning Spectral Unions of Partial Deformable 3D Shapes