E-LIB Suche - Ergebnisse für: Lundén, Daniel

1

Suspension Analysis and Selective Continuation-Passing Styl..:

, In: Programming Languages and Systems; Lecture Notes in Computer Science,

Lundén, Daniel ; Hummelgren, Lars ; Kudlicka, Jan.. - p. 302-330 , 2024

Link: https://doi.org/10.1007/..

2

Automatic Alignment in Higher-Order Probabilistic Programmi..:

, In: Programming Languages and Systems; Lecture Notes in Computer Science,

Lundén, Daniel ; Çaylak, Gizem ; Ronquist, Fredrik. - p. 535-563 , 2023

Link: https://doi.org/10.1007/..

3

Compiling Universal Probabilistic Programming Languages wit..:

, In: Programming Languages and Systems; Lecture Notes in Computer Science,

Lundén, Daniel ; Öhman, Joey ; Kudlicka, Jan... - p. 29-56 , 2022

Link: https://doi.org/10.1007/..

4

Correctness of Sequential Monte Carlo Inference for Probabi..:

, In: Programming Languages and Systems; Lecture Notes in Computer Science,

Lundén, Daniel ; Borgström, Johannes ; Broman, David - p. 404-431 , 2021

Link: https://doi.org/10.1007/..

5

Publisher Correction: Universal probabilistic programming o..:

Ronquist, Fredrik ; Kudlicka, Jan ; Senderov, Viktor...
Communications Biology. 4 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

6

Universal probabilistic programming offers a powerful appro..:

Ronquist, Fredrik ; Kudlicka, Jan ; Senderov, Viktor...
Communications Biology. 4 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

7

Suspension Analysis and Selective Continuation-Passing Styl..:

Lundén, Daniel ; Hummelgren, Lars ; Kudlicka, Jan..
http://arxiv.org/abs/2302.13051. , 2023

Link: http://arxiv.org/abs/230..

8

Automatic Alignment in Higher-Order Probabilistic Programmi..:

Lundén, Daniel ; Çaylak, Gizem ; Ronquist, Fredrik.
http://arxiv.org/abs/2301.11664. , 2023

Link: http://arxiv.org/abs/230..

9

Correct and Efficient Monte Carlo Inference for Universal P..:

Lundén, Daniel
TRITA-EECS-AVL. , 2023

Link: http://urn.kb.se/resolve..

10

Automatic Alignment in Higher-Order Probabilistic Programmi..:

Lundén, Daniel ; Çaylak, Gizem ; Ronquist, Fredrik.
Lecture Notes in Computer Science. , 2023

Link: http://urn.kb.se/resolve..

11

Compiling Universal Probabilistic Programming Languages wit..:

Lundén, Daniel ; Öhman, Joey ; Kudlicka, Jan...
Lecture Notes in Computer Science, 0302-9743. , 2022

Link: http://urn.kb.se/resolve..

12

Publisher Correction: Universal probabilistic programming o..:

Ronquist, Fredrik ; Kudlicka, Jan ; Senderov, Viktor...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961036/. , 2021

Link: http://www.ncbi.nlm.nih...

13

Compiling Universal Probabilistic Programming Languages wit..:

Lundén, Daniel ; Öhman, Joey ; Kudlicka, Jan...
http://arxiv.org/abs/2112.00364. , 2021

Link: http://arxiv.org/abs/211..

14

Correctness of Sequential Monte Carlo Inference for Probabi..:

Lundén, Daniel ; Borgström, Johannes ; Broman, David
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984533/. , 2021

Link: http://www.ncbi.nlm.nih...

15

Universal probabilistic programming offers a powerful appro..:

Ronquist, Fredrik ; Kudlicka, Jan ; Senderov, Viktor...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-021-01753-7. , 2021

Link: https://hal.archives-ouv..