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researcher

J. Kyle Brubaker

2 papers here

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

author position
  • middle author2

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

fields
  • cond-mat.dis-nn1
  • cs.LG1
ORCID 0000-0002-6439-5270

identity via Semantic Scholar / OpenAlex

most citedReply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set

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

collaborators

2 papers

cs.LG2023★ 1 cited

Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems

Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber

We provide a comprehensive reply to the comment written by Stefan Boettcher [arXiv:2210.00623] and argue that the comment singles out one particular non-representative example prob…

cond-mat.dis-nn2023★ 4 cited

Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set

Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber

We provide a comprehensive reply to the comment written by Chiara Angelini and Federico Ricci-Tersenghi [arXiv:2206.13211] and argue that the comment singles out one particular non…

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