Andreas Munk

According to our database, Andreas Munk authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Uncertain Evidence in Probabilistic Models and Stochastic Simulators.

Andreas Munk, Alexander Mead, Frank Wood

Proceedings of the International Conference on Machine Learning, 2023

2022

Probabilistic surrogate networks for simulators with unbounded randomness.

Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Attention for Inference Compilation.

William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood

Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, 2022

Amortized Rejection Sampling in Universal Probabilistic Programming.

Saeid Naderiparizi, Adam Scibior, Andreas Munk, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Assisting the Adversary to Improve GAN Training.

Andreas Munk, William Harvey, Frank Wood

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

Deep Probabilistic Surrogate Networks for Universal Simulator Approximation.

Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood

CoRR, 2019

Etalumis: bringing probabilistic programming to scientific simulators at scale.

Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood

Proceedings of the International Conference for High Performance Computing, 2019

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, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Semi-Supervised Sleep-Stage Scoring Based on Single Channel EEG.

Andreas Muff Munk, Kristoffer Vinther Olesen, Sirin Wilhelmsen Gangstad, Lars Kai Hansen

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018