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Partially Exchangeable Networks and Architectures for Learning Summary
  Statistics in Approximate Bayesian Computation

Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation

29 January 2019
Samuel Wiqvist
Pierre-Alexandre Mattei
Umberto Picchini
J. Frellsen
    BDL
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Papers citing "Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation"

5 / 5 papers shown
Title
Sequential Neural Posterior and Likelihood Approximation
Sequential Neural Posterior and Likelihood Approximation
Samuel Wiqvist
J. Frellsen
Umberto Picchini
BDL
34
33
0
12 Feb 2021
Neural Approximate Sufficient Statistics for Implicit Models
Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen
Dinghuai Zhang
Michael U. Gutmann
Aaron Courville
Zhanxing Zhu
27
79
0
20 Oct 2020
Convolutional Neural Networks as Summary Statistics for Approximate
  Bayesian Computation
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation
Mattias Åkesson
Prashant Singh
Fredrik Wrede
A. Hellander
BDL
22
32
0
31 Jan 2020
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian
  Computation
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation
Ritabrata Dutta
Marcel Schoengens
Lorenzo Pacchiardi
Avinash Ummadisingu
Nicole Widmer
Pierre Künzli
J. Onnela
Antonietta Mira
29
25
0
13 Nov 2017
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
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