"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
Cite NeurIPS 2023
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
Cite NeurIPS 2023
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
PDF Cite ICLR 2023, Oral, notable top 5%
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
PDF Cite arXiv
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
PDF Cite Computer Graphics Forum
Learning Spectral Unions of Partial Deformable 3D Shapes