62 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OsloNO4 papers
- Simula Research LaboratoryNO3 papers
- KTH Royal Institute of TechnologySE2 papers
- National University of SingaporeSG2 papers
- Shandong UniversityCN2 papers
- SINTEFNO2 papers
- University of CambridgeGB2 papers
- University of PerugiaIT2 papers
- University of South-Eastern NorwayNO2 papers
- AI Sweden1 paper
- Bank of JapanJP1 paper
- Buskerud University CollegeNO1 paper
Showing cs.PLShow all
2 papers · 1 filter
cs.PL2023★ 2 cited
Suspension Analysis and Selective Continuation-Passing Style for Universal Probabilistic Programming Languages
Daniel Lundén, Lars Hummelgren, Jan Kudlicka +2
Universal probabilistic programming languages (PPLs) make it relatively easy to encode and automatically solve statistical inference problems. To solve inference problems, PPL impl…
cs.PL2021★ 13 cited
Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference
Daniel Lundén, Joey Öhman, Jan Kudlicka +3
Probabilistic programming languages (PPLs) allow users to encode arbitrary inference problems, and PPL implementations provide general-purpose automatic inference for these problem…