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researcher

J. Kim

11 papers hereh-index 467 citations16 works total

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

author position
  • first author8
  • middle author3

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • quant-ph3
  • math.OC2
  • stat.ML1
same name
  • J. Kim — 284 papers
  • J. Kim — 125 papers, h 88
  • J. Kim — 119 papers, h 42
  • J. Kim — 115 papers, h 77
  • J. Kim — 114 papers, h 56
  • J. Kim — 89 papers

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
20212024
most citedFast quantum state reconstruction via accelerated non-convex programming

4 citations · 8 across the 11 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2021★ 1 cited

How much pre-training is enough to discover a good subnetwork?

Cameron R. Wolfe, Fangshuo Liao, Qihan Wang +2

Neural network pruning is useful for discovering efficient, high-performing subnetworks within pre-trained, dense network architectures. More often than not, it involves a three-st…

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