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Anirudh Jain

7 papers hereh-index 9628 citations19 works total

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

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG2
  • astro-ph.IM1
  • cs.CV1
  • stat.ML1
same name
  • Anirudh Jain — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedPractical Deep Learning with Bayesian Principles

124 citations · 169 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2021★ 3 cited

Confounding Tradeoffs for Neural Network Quantization

Sahaj Garg, Anirudh Jain, Joe Lou +1

Many neural network quantization techniques have been developed to decrease the computational and memory footprint of deep learning. However, these methods are evaluated subject to…

cs.LG2021★ 4 cited

Dynamic Precision Analog Computing for Neural Networks

Sahaj Garg, Joe Lou, Anirudh Jain +1

Analog electronic and optical computing exhibit tremendous advantages over digital computing for accelerating deep learning when operations are executed at low precision. In this w…

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