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researcher

Babak Rokh

2 papers hereh-index 3272 citations5 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

most citedA Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification

224 citations · 224 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NE2025

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression

Sara Makenali, Babak Rokh, Ali Azarpeyvand

Deep Neural Networks (DNNs) have achieved significant advances in a wide range of applications. However, their deployment on resource-constrained devices remains a challenge due to…

cs.LG2022★ 224 cited

A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification

Babak Rokh, Ali Azarpeyvand, Alireza Khanteymoori

Recent advancements in machine learning achieved by Deep Neural Networks (DNNs) have been significant. While demonstrating high accuracy, DNNs are associated with a huge number of…

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