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Ivan Lazarevich

1 paper hereh-index 336 citations3 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedREAP the Experts: Why Pruning Prevails for One-Shot MoE compression

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2026★ 1 cited

REAP the Experts: Why Pruning Prevails for One-Shot MoE compression

Mike Lasby, Ivan Lazarevich, Nish Sinnadurai +3

Sparsely-activated Mixture-of-Experts (SMoE) models offer efficient pre-training and low latency but their large parameter counts create significant memory overhead, motivating res…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.