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Daniel Lundén
96  Ergebnisse:
Personensuche X
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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7

Artifact: Automatic Alignment in Higher-Order Probabilistic..:

Daniel Lundén ; Gizem Caylak ; Fredrik Ronquist.
doi:10.5281/zenodo.7572555.  , 2023
Link: https://zenodo.org/recor..
 
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8

Artifact: Automatic Alignment in Higher-Order Probabilistic..:

Daniel Lundén ; Gizem Caylak ; Fredrik Ronquist.
doi:10.5281/zenodo.7572555.  , 2023
Link: https://zenodo.org/recor..
 
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9

Artifact: Compiling Universal Probabilistic Programming Lan..:

Daniel Lundén ; Joey Öhman ; Jan Kudlicka...
doi:10.5281/zenodo.5914164.  , 2022
Link: https://zenodo.org/recor..
 
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10

Artifact: Compiling Universal Probabilistic Programming Lan..:

Daniel Lundén ; Joey Öhman ; Jan Kudlicka...
doi:10.5281/zenodo.5914164.  , 2022
Link: https://zenodo.org/recor..
 
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11

Universal probabilistic programming offers a powerful appro..:

Fredrik Ronquist ; Jan Kudlicka ; Viktor Senderov...
https://doi.org/10.1038/s42003-021-01753-7.  , 2021
Link: https://doi.org/10.1038/..
 
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12

Publisher Correction: Universal probabilistic programming o..:

Fredrik Ronquist ; Jan Kudlicka ; Viktor Senderov...
https://doi.org/10.1038/s42003-021-01922-8.  , 2021
Link: https://doi.org/10.1038/..
 
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13

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..
 
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14

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..
 
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15

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

Lundén, Daniel
TRITA-EECS-AVL.  , 2023
Link: http://urn.kb.se/resolve..
 
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