Search Results for author: Marco Fumero

Found 6 papers, 3 papers with code

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

no code implementations2 Oct 2023 Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà

It has been observed that representations learned by distinct neural networks conceal structural similarities when the models are trained under similar inductive biases.

Bootstrapping Parallel Anchors for Relative Representations

1 code implementation1 Mar 2023 Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà

The use of relative representations for latent embeddings has shown potential in enabling latent space communication and zero-shot model stitching across a wide range of applications.

Semantic correspondence

Relative representations enable zero-shot latent space communication

no code implementations30 Sep 2022 Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà

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

Learning disentangled representations via product manifold projection

no code implementations2 Mar 2021 Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà

We propose a novel approach to disentangle the generative factors of variation underlying a given set of observations.


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