Fredrik Ronquist | DeepAI

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Featured Co-authors

Thomas B. Schön
81 publications
David Broman
14 publications
Lawrence M. Murray
7 publications
Daniel Lundén
6 publications
Jan Kudlicka
5 publications
Joey Öhman
3 publications
Viktor Senderov
1 publication
Gizem Çaylak
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research

∙ 01/27/2023

Automatic Alignment in Higher-Order Probabilistic Programming Languages

Probabilistic Programming Languages (PPLs) allow users to encode statist...

0 Daniel Lundén, et al. ∙

research

∙ 12/01/2021

Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference

Probabilistic programming languages (PPLs) allow users to encode arbitra...

0 Daniel Lundén, et al. ∙

research

∙ 07/10/2019

Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed sampling

We consider probabilistic programming for birth-death models of evolutio...

0 Jan Kudlicka, et al. ∙

research

∙ 12/18/2018

Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs

Probabilistic programming is a programming paradigm for expressing flexi...

0 Daniel Lundén, et al. ∙