Semi-Supervised Sleep-Stage Scoring Based on Single Channel EEG. - Andreas Muff Munk; Kristoffer Vinther Olesen; Sirin Wilhelmsen Gangstad; Lars Kai Hansen (ICASSP, 2018)

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. - Atilim Gunes Baydin; Lei Shao; Wahid Bhimji; Lukas Heinrich; Saeid Naderiparizi; Andreas Munk 001; Jialin Liu 002; Bradley Gram-Hansen; Gilles Louppe; Lawrence Meadows; Philip H. S. Torr; Victor W. Lee; et al. (NeurIPS, 2019)

Etalumis: bringing probabilistic programming to scientific simulators at scale. - Atilim Günes Baydin; Lei Shao; Wahid Bhimji; Lukas Heinrich; Lawrence Meadows; Jialin Liu 002; Andreas Munk 001; Saeid Naderiparizi; Bradley Gram-Hansen; Gilles Louppe; Mingfei Ma; Xiaohui Zhao; et al. (SC, 2019)

Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. - Andreas Munk 001; Adam Scibior; Atilim Günes Baydin; Andrew Stewart; Goran Fernlund; Anoush Poursartip; Frank Wood (CoRR, 2019)

Assisting the Adversary to Improve GAN Training. - Andreas Munk 001; William Harvey 002; Frank Wood (IJCNN, 2021)

Amortized Rejection Sampling in Universal Probabilistic Programming. - Saeid Naderiparizi; Adam Scibior; Andreas Munk 001; Mehrdad Ghadiri; Atilim Gunes Baydin; Bradley J. Gram-Hansen; Christian A. Schröder de Witt; Robert Zinkov; Philip H. S. Torr; Tom Rainforth; Yee Whye Teh; Frank Wood (AISTATS, 2022)

Attention for Inference Compilation. - William Harvey 002; Andreas Munk 001; Atilim Günes Baydin; Alexander Bergholm; Frank Wood (SIMULTECH, 2022)

Probabilistic surrogate networks for simulators with unbounded randomness. - Andreas Munk 001; Berend Zwartsenberg; Adam Scibior; Atilim Günes Baydin; Andrew Stewart; Goran Fernlund; Anoush Poursartip; Frank Wood (UAI, 2022)

Uncertain Evidence in Probabilistic Models and Stochastic Simulators. - Andreas Munk 001; Alexander Mead; Frank Wood (ICML, 2023)