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researcher

J. Quackenbush

2 papers hereh-index 1913.9k citations57 works total

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

author position
  • middle author1
  • last author1

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

fields
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedScaling up Continuous-Time Markov Chains Helps Resolve Underspecification

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 4 cited

Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification

Alkis Gotovos, Rebekka Burkholz, John Quackenbush +1

Modeling the time evolution of discrete sets of items (e.g., genetic mutations) is a fundamental problem in many biomedical applications. We approach this problem through the lens…

cs.AI2019

Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently

Rebekka Burkholz, John Quackenbush

Cascade models are central to understanding, predicting, and controlling epidemic spreading and information propagation. Related optimization, including influence maximization, mod…

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