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United States Congress

United States

3 papers here2 citations across 3
fields
  • cs.AI1
  • cs.IT1
  • math.CO1
ROR 00k1mwv09OpenAlex

affiliations via OpenAlex

output
20162025
most citedControlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach

1 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Abhishek B. Sharma1 · h 5
  • A. Kolpakov1 · h 12
  • Alexander Kolpakov1 · h 1
  • Keith M. Goolsbey1 · h 4
  • Laura Grave de Peralta1
  • M. Witbrock1 · h 31
collaborating institutions
  • The University of Texas at AustinUS2 papers
  • Addex Therapeutics (Switzerland)CH1 paper
  • Cycorp (United States)US1 paper

3 papers

cs.IT2025

Loss-Complexity Landscape and Model Structure Functions

Alexander Kolpakov

We develop a framework for dualizing the Kolmogorov structure function hx​(α), which then allows using computable complexity proxies. We establish a mathematical analogy between…

math.CO2023★ 1 cited

Expansion properties of Whitehead moves on cubic graphs

Laura Grave de Peralta, Alexander Kolpakov

The present note concerns the "graph of graphs" that has cubic graphs as vertices connected by edges represented by the so-called Whitehead moves. Here, we prove that the outer-con…

cs.AI2016★ 1 cited

Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach

Abhishek Sharma, Michael Witbrock, Keith Goolsbey

Very large commonsense knowledge bases (KBs) often have thousands to millions of axioms, of which relatively few are relevant for answering any given query. A large number of irrel…

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