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Sequential Neural Methods for Likelihood-free Inference

Sequential Neural Methods for Likelihood-free Inference

21 November 2018
Conor Durkan
George Papamakarios
Iain Murray
    BDL
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Papers citing "Sequential Neural Methods for Likelihood-free Inference"

5 / 5 papers shown
Title
Compositional Score Modeling for Simulation-based Inference
Compositional Score Modeling for Simulation-based Inference
Tomas Geffner
George Papamakarios
A. Mnih
60
24
0
28 Sep 2022
Sequential Neural Posterior and Likelihood Approximation
Sequential Neural Posterior and Likelihood Approximation
Samuel Wiqvist
J. Frellsen
Umberto Picchini
BDL
26
33
0
12 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,543
0
25 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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