Author

Yann LeCun

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#machine learning Preprint Sep 2026

Learning Functional Subspaces for Neural Network Compression

Modern transformers pair impressive capabilities with substantial memory and compute demands. Low-rank weight factorization reduces both while keeping the matrices dense, and thus efficient on standard hardware. Existing methods, however, choose the subspace to remove from each weight matrix with local closed-form crit...

Massimo Bini, Anders Christensen, S. Alaniz et al. · 0 citations

#machine learning Preprint Aug 2026

Advancing Open and Reproducible Relational Learning: RelArena-$\alpha$, TabPFN-Rel and RPI

This first release of Prior Labs in relational learning opens-source three pieces of software that expect to accelerate research in the field towards meaningful real-world impact and releases an initial version of RPI, an open-source, model-agnostic interface that enables early adopters to easily define problems on new...

A. Hayler, Klemens Flöge, Alan Arazi et al. · 3 citations · ⚡1