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A. Vaidyanathan

3 papers hereh-index 330 citations3 works total

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.LG1
  • q-bio.OT1
same name
  • A. Vaidyanathan — 68 papers, h 13
  • A. Vaidyanathan — 4 papers, h 4
  • A. Vaidyanathan — 1 paper
  • A. Vaidyanathan — 1 paper
  • A. Vaidyanathan — 1 paper, h 0
  • A. Vaidyanathan — 1 paper, h 1

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
20222026
most citedIs Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning

3 citations · 5 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2026

Clinical Concept Centers in LLMs

Aishik Nagar, Abhishek Vaidyanathan, Arun-Kumar Kaliya-Perumal +2

Large language models are increasingly used in clinical settings. However, research into the reliability and performance of these models has focused almost entirely on the language…

q-bio.OT2025★ 2 cited

The Hands-On Growth Laws Theory Cookbook

Rossana Droghetti, Mattia Corigliano, Ludovico Calabrese +6

This tutorial covers the emerging field of coarse-grained cellular growth modeling, and aims to bridge the gap between theoretical foundations and practical application. By adoptin…

cs.LG2022★ 3 cited

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning

Manas Gupta, Efe Camci, Vishandi Rudy Keneta +5

Pruning neural networks has become popular in the last decade when it was shown that a large number of weights can be safely removed from modern neural networks without compromisin…

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