Universal Marginaliser for Deep Amortised Inference for Probabilistic
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Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs

16 October 2019

Kostis Gourgoulias

Papers citing "Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs"

16 / 16 papers shown

Title
Learning about an exponential amount of conditional distributions Mohamed Ishmael Belghazi Maxime Oquab Yann LeCun David Lopez-Paz BDL SSL 36 28 0 22 Feb 2019
Universal Marginalizer for Amortised Inference and Embedding of Generative Models R. Walecki A. Buchard Kostis Gourgoulias Chris Hart Maria Lomeli Alexandre Khae Wu Navarro Max Zwiessele Yura N. Perov Saurabh Johri BDL 55 2 0 12 Nov 2018
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 120 1,043 0 18 Oct 2018
Variational Autoencoder with Arbitrary Conditioning Oleg Ivanov Michael Figurnov Dmitry Vetrov BDL DRL 42 146 0 06 Jun 2018
A Universal Marginalizer for Amortized Inference in Generative Models Laura Douglas Iliyan Zarov Kostis Gourgoulias Chris Lucas Chris Hart Adam Baker M. Sahani Yura N. Perov Saurabh Johri UQCV CML 41 31 0 02 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 528 129,831 0 12 Jun 2017
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning T. Le A. G. Baydin R. Zinkov Frank Wood SyDa OOD 105 89 0 02 Mar 2017
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 161 143 0 31 Oct 2016
Deep Amortized Inference for Probabilistic Programs Daniel E. Ritchie Paul Horsfall Noah D. Goodman TPM 85 82 0 18 Oct 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank Wood BDL 124 110 0 22 Feb 2016
Data-driven Sequential Monte Carlo in Probabilistic Programming Yura N. Perov T. Le Frank Wood BDL 22 7 0 14 Dec 2015
Neural Adaptive Sequential Monte Carlo S. Gu Zoubin Ghahramani Richard Turner BDL 55 147 0 10 Jun 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 134 863 0 12 Feb 2015
An Empirical Analysis of Likelihood-Weighting Simulation on a Large, Multiply-Connected Belief Network M. Shwe G. Cooper 96 89 0 27 Mar 2013
Recognition Networks for Approximate Inference in BN20 Networks Q. Morris BDL 123 27 0 10 Jan 2013
Conformant Planning via Symbolic Model Checking A. Cimatti M. Roveri 76 961 0 01 Jun 2011