Andreas Munk - RankMe

13 papers A* 2A 3B 1C 1Journal 6

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Uncertain Evidence in Probabilistic Models and Stochastic Simulators. ICML Andreas Munk, Alexander Mead, Frank Wood
2022	A	`conf`	Amortized Rejection Sampling in Universal Probabilistic Programming. AISTATS 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
2022	C	`conf`	Attention for Inference Compilation. SIMULTECH William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood
2022	A	`conf`	Probabilistic surrogate networks for simulators with unbounded randomness. UAI Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
2022	J	`jnl`	Uncertain Evidence in Probabilistic Models and Stochastic Simulators. CoRR Andreas Munk, Alexander Mead, Frank Wood
2021	B	`conf`	Assisting the Adversary to Improve GAN Training. IJCNN Andreas Munk, William Harvey, Frank Wood
2020	J	`jnl`	Assisting the Adversary to Improve GAN Training. CoRR Andreas Munk, William Harvey, Frank Wood
2019	J	`jnl`	Amortized Rejection Sampling in Universal Probabilistic Programming. CoRR Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Günes Baydin, Bradley Gram-Hansen, Christian Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
2019	J	`jnl`	Attention for Inference Compilation. CoRR William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood
2019	J	`jnl`	Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. CoRR Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
2019	A*	`conf`	Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. NeurIPS 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
2019	J	`jnl`	Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. CoRR 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
2019	A	`conf`	Etalumis: bringing probabilistic programming to scientific simulators at scale. SC 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