Swedish Museum of Natural History

output

20132023

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

13 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.

F. Ronquist4 · h 57
David Broman2 · h 6
J. Kudlicka2 · h 7
Å. Nordlund1 · h 38
B. Boussau1 · h 36
B. L. de Vries1 · h 0
Daniel Lund'en1 · h 1
Daniel Lundén1 · h 7
E. Pringle1 · h 16
F. Moynier1 · h 63
Gizem Çaylak1 · h 2
H. Skogby1 · h 34

collaborating institutions

Stockholm UniversitySE4 papers
KTH Royal Institute of TechnologySE2 papers
AI Sweden1 paper
AlbaNovaSE1 paper
BI Norwegian Business SchoolNO1 paper
European Space Research and Technology CentreNL1 paper
Institut de physique du globe de ParisFR1 paper
Institut de Planétologie et d'Astrophysique de GrenobleFR1 paper
King Abdulaziz UniversitySA1 paper
Lyon 1 UniversitéFR1 paper
Sorbonne Paris CitéFR1 paper
Space Research Organisation NetherlandsNL1 paper

Showing 2021 · cs.PLShow all

1 paper · 2 filters

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…