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Jan Kudlicka
Jan Kudlicka
Associate Professor of Data Science, BI Norwegian Business School
Verified email at bi.no - Homepage
Title
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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
472018
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
172021
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
62020
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
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 (1), 1-1, 2021
22021
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
12022
Probabilistic Programming for Birth-Death Models of Evolution
J Kudlicka
Acta Universitatis Upsaliensis, 2021
12021
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
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
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