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Jan Kudlicka
Jan Kudlicka
Associate Professor of Data Science, BI Norwegian Business School
Verified email at bi.no - Homepage
Title
Cited by
Cited by
Year
Delayed sampling and automatic Rao-Blackwellization of probabilistic programs
L Murray, D Lundén, J Kudlicka, D Broman, T Schön
International Conference on Artificial Intelligence and Statistics, 1037-1046, 2018
612018
Universal probabilistic programming offers a powerful approach to statistical phylogenetics
F Ronquist, J Kudlicka, V Senderov, J Borgström, N Lartillot, D Lundén, ...
Communications Biology 4 (1), 2021
372021
Optimizing insect metabarcoding using replicated mock communities
E Iwaszkiewicz‐Eggebrecht, E Granqvist, M Buczek, M Prus, J Kudlicka, ...
Methods in ecology and evolution 14 (4), 1130-1146, 2023
132023
Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference.
D Lundén, J Öhman, J Kudlicka, V Senderov, F Ronquist, D Broman
ESOP, 29-56, 2022
102022
Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed sampling
J Kudlicka, LM Murray, F Ronquist, TB Schön
Uncertainty in Artificial Intelligence, 679-689, 2020
102020
Probabilistic programming: a powerful new approach to statistical phylogenetics
F Ronquist, J Kudlicka, V Senderov, J Borgström, N Lartillot, D Lundén, ...
32020
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs.(2017)
LM Murray, D Lundén, J Kudlicka, D Broman, TB Schön
arXiv preprint arXiv:1708.07787, 2017
32017
Probabilistic Programming for Birth-Death Models of Evolution
J Kudlicka
Acta Universitatis Upsaliensis, 2021
22021
Particle filter with rejection control and unbiased estimator of the marginal likelihood
J Kudlicka, LM Murray, TB Schön, F Lindsten
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
12020
Suspension Analysis and Selective Continuation-Passing Style for Universal Probabilistic Programming Languages
D Lundén, L Hummelgren, J Kudlicka, O Eriksson, D Broman
European Symposium on Programming, 302-330, 2024
2024
Suspension Analysis and Selective Continuation-Passing Style for Higher-Order Probabilistic Programming Languages
D Lundén, L Hummelgren, J Kudlicka, O Eriksson, D Broman
arXiv preprint arXiv:2302.13051, 2023
2023
TreePPL: A Universal Probabilistic Programming Language for Phylogenetics
VE Senderov, J Kudlicka, D Lunden, V Palmkvist, MP Braga, E Granqvist, ...
bioRxiv, 2023.10. 10.561673, 2023
2023
Universal Probabilistic Programming Language Compilation with Parallel Efficient Sequential Monte Carlo Inference
D Lundén, J Öhman, J Kudlicka, V Senderov, F Ronquist, D Broman
arXiv preprint arXiv:2112.00364, 2021
2021
Publisher Correction: Universal probabilistic programming offers a powerful approach to statistical phylogenetics
F Ronquist, J Kudlicka, V Senderov, J Borgström, N Lartillot, D Lundén, ...
Communications Biology 4, 2021
2021
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