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Likelihood-free inference with emulator networks

Likelihood-free inference with emulator networks

23 May 2018
Jan-Matthis Lueckmann
Giacomo Bassetto
Theofanis Karaletsos
Jakob H. Macke
ArXivPDFHTML

Papers citing "Likelihood-free inference with emulator networks"

14 / 14 papers shown
Title
Multifidelity Simulation-based Inference for Computationally Expensive Simulators
Multifidelity Simulation-based Inference for Computationally Expensive Simulators
Anastasia N. Krouglova
Hayden R. Johnson
Basile Confavreux
Michael Deistler
P. J. Gonçalves
71
1
0
17 Feb 2025
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
Yifei Xiong
Xiliang Yang
Sanguo Zhang
Zhijian He
108
2
0
17 Jan 2025
Full-waveform earthquake source inversion using simulation-based inference
Full-waveform earthquake source inversion using simulation-based inference
A. A. Saoulis
Davide Piras
A. Spurio Mancini
B. Joachimi
A. M. G. Ferreira
35
0
0
30 Oct 2024
Optimal simulation-based Bayesian decisions
Optimal simulation-based Bayesian decisions
Justin Alsing
Thomas D. P. Edwards
Benjamin Dan Wandelt
20
2
0
09 Nov 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General
  Inference
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos
A. Coogan
Y. Hezaveh
Laurence Perreault Levasseur
27
30
0
06 Feb 2023
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
Likelihood-Free Inference with Generative Neural Networks via Scoring
  Rule Minimization
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization
Lorenzo Pacchiardi
Ritabrata Dutta
TPM
BDL
UQCV
GAN
16
18
0
31 May 2022
Variational methods for simulation-based inference
Variational methods for simulation-based inference
Manuel Glöckler
Michael Deistler
Jakob H. Macke
19
46
0
08 Mar 2022
Unifying Likelihood-free Inference with Black-box Optimization and
  Beyond
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Dinghuai Zhang
Jie Fu
Yoshua Bengio
Aaron Courville
29
13
0
06 Oct 2021
Likelihood-Free Inference with Deep Gaussian Processes
Likelihood-Free Inference with Deep Gaussian Processes
Alexander Aushev
Henri Pesonen
Markus Heinonen
J. Corander
Samuel Kaski
GP
18
10
0
18 Jun 2020
On Contrastive Learning for Likelihood-free Inference
On Contrastive Learning for Likelihood-free Inference
Conor Durkan
Iain Murray
George Papamakarios
BDL
34
117
0
10 Feb 2020
Sequential Neural Likelihood: Fast Likelihood-free Inference with
  Autoregressive Flows
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios
D. Sterratt
Iain Murray
BDL
33
358
0
18 May 2018
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
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