Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs. - Lawrence M. Murray; Daniel Lundén; Jan Kudlicka; David Broman; Thomas B. Schön (AISTATS, 2018)

Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling. - Jan Kudlicka; Lawrence M. Murray; Fredrik Ronquist; Thomas B. Schön (UAI, 2019)

Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood. - Jan Kudlicka; Lawrence M. Murray; Thomas B. Schön; Fredrik Lindsten (ICASSP, 2020)

Universal Probabilistic Programming Language Compilation with Parallel Efficient Sequential Monte Carlo Inference. - Daniel Lundén; Joey Öhman; Jan Kudlicka; Viktor Senderov; Fredrik Ronquist; David Broman (CoRR, 2021)

Probabilistic Programming for Birth-Death Models of Evolution. - Jan Kudlicka (2021)

Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference. - Daniel Lundén; Joey Öhman; Jan Kudlicka; Viktor Senderov; Fredrik Ronquist; David Broman (ESOP, 2022)

Suspension Analysis and Selective Continuation-Passing Style for Higher-Order Probabilistic Programming Languages. - Daniel Lundén; Lars Hummelgren; Jan Kudlicka; Oscar Eriksson; David Broman (CoRR, 2023)

Suspension Analysis and Selective Continuation-Passing Style for Universal Probabilistic Programming Languages. - Daniel Lundén; Lars Hummelgren; Jan Kudlicka; Oscar Eriksson; David Broman (ESOP (2), 2024)