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cs.CL2026
SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices
Ernests Lavrinovics, Marco Letizia, Roy Janco +3
We present SigmaScale, a method for learning auxiliary scaling matrices to aid truncated Singular Value Decomposition (SVD) based Large Language Model (LLM) compression. Instea…
physics.data-an2026
Model-Agnostic Signal Discovery with Machine Learning: Bridging the Gap Between Theory and Practice
Oz Amram, Marco Letizia, Mikael Kuusela
Searches for new phenomena in complex scientific data are predominantly model-dependent, optimized for specific hypotheses, and therefore limited in their coverage of the space of…