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researcher

Daniel Lundén

4 papers hereh-index 7171 citations13 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.PL3
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedCompiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference

13 citations · 28 across the 4 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

cs.PL2020★ 7 cited

Correctness of Sequential Monte Carlo Inference for Probabilistic Programming Languages

Daniel Lundén, Johannes Borgström, David Broman

Probabilistic programming is an approach to reasoning under uncertainty by encoding inference problems as programs. In order to solve these inference problems, probabilistic progra…

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