45 citations · 75 across the 9 of their papers we have counts for
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cs.LG2024
TQCompressor: improving tensor decomposition methods in neural networks via permutations
V. Abronin, A. Naumov, D. Mazur +7
We introduce TQCompressor, a novel method for neural network model compression with improved tensor decompositions. We explore the challenges posed by the computational and storage…
cs.LG2023
Tetra-AML: Automatic Machine Learning via Tensor Networks
A. Naumov, Ar. Melnikov, V. Abronin +5
Neural networks have revolutionized many aspects of society but in the era of huge models with billions of parameters, optimizing and deploying them for commercial applications can…