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Zero-shot stitching in Reinforcement Learning using Relative Representations
In this paper we investigate the use of a recent method called “relative represen- tations” to enable zero-shot model …
Antonio Ricciardi, Valentino Maiorca, Luca Moschella, Emanuele Rodolà
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Zero-shot stitching in Reinforcement Learning using Relative Representations
Bootstrapping Parallel Anchors for Relative Representations
The use of relative representations for latent embeddings has shown potential in enabling latent space communication and zero-shot …
Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà
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Bootstrapping Parallel Anchors for Relative Representations
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
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CaSpeR: Latent Spectral Regularization for Continual Learning
Explanatory Learning: Beyond Empiricism in Neural Networks
We introduce Explanatory Learning (EL), a framework to let machines use existing knowledge buried in symbolic sequences – e.g. …
Antonio Norelli, Giorgio Mariani, Luca Moschella, Andrea Santilli, Giambattista Parascandolo, Simone Melzi, Emanuele Rodolà
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Explanatory Learning: Beyond Empiricism in Neural Networks