Author

Fabrizio Silvestri

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Preprint Oct 2026

LocaLeJEPA: Maximum Entropy Representations under Geometric Priors

Joint-Embedding Predictive Architectures (JEPA) offer an appealing approach to self-supervised learning, but are typically prone to representation collapse. LeJEPA resolves this by introducing a theoretically grounded distribution-matching objective that drives the embedding towards an isotropic Gaussian. However, this...

Kartik Tandon, Alessio Borgi, Pavel Snopov et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs

ESNN is introduced, an Equivariant Sheaf Neural Network that enriches this interaction by learning directed, matrix-valued transport between neighboring vector features while preserving exact Euclidean equivariance.

Alessio Borgi, M. Severino, Fabrizio Silvestri et al. · 0 citations