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Yerlan Idelbayev

University of California, Merced

10 papers hereh-index 10762 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author7
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG4
affiliations
  • University of California, Merced
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identity via Semantic Scholar / OpenAlex

activity
20172026
most citedModel compression as constrained optimization, with application to neural nets. Part II: quantization

23 citations · 35 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

cs.LG2020★ 5 cited

A flexible, extensible software framework for model compression based on the LC algorithm

Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán

We propose a software framework based on the ideas of the Learning-Compression (LC) algorithm, that allows a user to compress a neural network or other machine learning model using…

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