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Andreas Munk
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Etalumis: Bringing probabilistic programming to scientific simulators at scale
AG Baydin, L Shao, W Bhimji, L Heinrich, L Meadows, J Liu, A Munk, ...
Proceedings of the international conference for high performance computing†…, 2019
442019
Efficient probabilistic inference in the quest for physics beyond the standard model
AG Baydin, L Shao, W Bhimji, L Heinrich, S Naderiparizi, A Munk, J Liu, ...
Advances in neural information processing systems 32, 2019
342019
Deep probabilistic surrogate networks for universal simulator approximation
A Munk, A Ścibior, AG Baydin, A Stewart, G Fernlund, A Poursartip, ...
arXiv preprint arXiv:1910.11950, 2019
82019
Semi-supervised sleep-stage scoring based on single channel EEG
AM Munk, KV Olesen, SW Gangstad, LK Hansen
2018 IEEE International Conference on Acoustics, Speech and Signal†…, 2018
82018
Amortized rejection sampling in universal probabilistic programming
S Naderiparizi, A Scibior, A Munk, M Ghadiri, AG Baydin, ...
International Conference on Artificial Intelligence and Statistics, 8392-8412, 2022
32022
Attention for inference compilation
W Harvey, A Munk, AG Baydin, A Bergholm, F Wood
arXiv preprint arXiv:1910.11961, 2019
32019
Efficient Bayesian inference for nested simulators
B Gram-Hansen, CS de Witt, R Zinkov, S Naderiparizi, A Scibior, A Munk, ...
32019
Bayesian Transfer Learning for Deep Networks
J Wohlert, AM Munk, S Sengupta, F Laumann
12018
Probabilistic Surrogate Networks for Simulators with Unbounded Randomness
A Munk, B Zwartsenberg, A Scibior, AG Baydin, AL Stewart, G Fernlund, ...
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
2022
Assisting the Adversary to Improve GAN Training
A Munk, W Harvey, F Wood
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
2021
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
BA GŁnes, L Shao, W Bhimji, L Heinrich, L Meadows, J Liu, A Munk, ...
Proceedings of SC19, 2019
2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
A GŁneş Baydin, L Heinrich, W Bhimji, L Shao, S Naderiparizi, A Munk, ...
arXiv e-prints, arXiv: 1807.07706, 2018
2018
Acoustic levitation of particles
AM Munk
2016
Effective Approximate Inference for Nested Simulators
BJ Gram-Hansen, A Golinski, CS de Witt, S Naderiparizi, A Scibior, ...
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