2 citations · 4 across the 3 of their papers we have counts for
3 papers
Real-Time Probabilistic Programming
Lars Hummelgren, Matthias Becker, David Broman
Complex cyber-physical systems interact in real-time and must consider both timing and uncertainty. Developing software for such systems is expensive and difficult, especially when…
Suspension Analysis and Selective Continuation-Passing Style for Universal Probabilistic Programming Languages
Daniel Lundén, Lars Hummelgren, Jan Kudlicka +2
Universal probabilistic programming languages (PPLs) make it relatively easy to encode and automatically solve statistical inference problems. To solve inference problems, PPL impl…
Expression Acceleration: Seamless Parallelization of Typed High-Level Languages
Lars Hummelgren, John Wikman, Oscar Eriksson +2
Efficient parallelization of algorithms on general-purpose GPUs is essential in many areas today. However, it is a non-trivial task for software engineers to utilize GPUs to improv…