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researcher

Guy Van den Broeck

University of California, Los Angeles

116 papers hereh-index 437k citations240 works total

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

author position
  • first author5
  • middle author46
  • last author62

Across the 113 of 116 papers where every author was matched, so the position is known.

fields
  • cs.LG52
  • cs.AI31
  • cs.CL12
  • cs.PL4
  • cs.CV3
  • cs.DB3
affiliations
  • University of California, Los Angeles
Homepage
same name
  • Guy Van den Broeck — 3 papers, h 1
  • Guy Van den Broeck — 2 papers, h 2

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
20122026
most citedScaling Exact Inference for Discrete Probabilistic Programs

83 citations · 616 across the 106 of their papers we have counts for

collaborators
Showing 2014 · cs.AIShow all

4 papers · 2 filters

cs.AI2014

Lifted Probabilistic Inference for Asymmetric Graphical Models

Guy Van den Broeck, Mathias Niepert

Lifted probabilistic inference algorithms have been successfully applied to a large number of symmetric graphical models. Unfortunately, the majority of real-world graphical models…

cs.AI2014★ 9 cited

Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting

Eric Gribkoff, Guy Van den Broeck, Dan Suciu

In this paper we study lifted inference for the Weighted First-Order Model Counting problem (WFOMC), which counts the assignments that satisfy a given sentence in first-order logic…

cs.AI2014★ 1 cited

On the Role of Canonicity in Bottom-up Knowledge Compilation

Guy Van den Broeck, Adnan Darwiche

We consider the problem of bottom-up compilation of knowledge bases, which is usually predicated on the existence of a polytime function for combining compilations using Boolean op…

cs.AI2014★ 12 cited

Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference

Mathias Niepert, Guy Van den Broeck

Exchangeability is a central notion in statistics and probability theory. The assumption that an infinite sequence of data points is exchangeable is at the core of Bayesian statist…

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