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Misspecification-robust Sequential Neural Likelihood for
  Simulation-based Inference

Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference

31 January 2023
Ryan P. Kelly
David J. Nott
David T. Frazier
D. Warne
Christopher C. Drovandi
ArXivPDFHTML

Papers citing "Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference"

13 / 13 papers shown
Title
Detecting Model Misspecification in Amortized Bayesian Inference with
  Neural Networks: An Extended Investigation
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
Marvin Schmitt
Paul-Christian Burkner
Ullrich Kothe
Stefan T. Radev
35
6
0
05 Jun 2024
Preconditioned Neural Posterior Estimation for Likelihood-free Inference
Preconditioned Neural Posterior Estimation for Likelihood-free Inference
Xiaoyu Wang
Ryan P. Kelly
D. Warne
Christopher C. Drovandi
37
4
0
21 Apr 2024
Learning Robust Statistics for Simulation-based Inference under Model
  Misspecification
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Daolang Huang
Ayush Bharti
Amauri Souza
Luigi Acerbi
Samuel Kaski
38
30
0
25 May 2023
Bayesian calibration of differentiable agent-based models
Bayesian calibration of differentiable agent-based models
Arnau Quera-Bofarull
Ayush Chopra
Anisoara Calinescu
Michael Wooldridge
Joel Dyer
26
9
0
24 May 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized
  Cost Estimation
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
Richard Gao
Michael Deistler
Jakob H. Macke
22
11
0
24 May 2023
Generalised likelihood profiles for models with intractable likelihoods
Generalised likelihood profiles for models with intractable likelihoods
D. Warne
Oliver J. Maclaren
E. Carr
Matthew J. Simpson
Christopher C. Drovandi
24
8
0
18 May 2023
Sequential Neural Score Estimation: Likelihood-Free Inference with
  Conditional Score Based Diffusion Models
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
Louis Sharrock
J. Simons
Song Liu
Mark Beaumont
DiffM
52
33
0
10 Oct 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
875
0
21 Oct 2021
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
101
184
0
12 Jan 2021
Preconditioned training of normalizing flows for variational inference
  in inverse problems
Preconditioned training of normalizing flows for variational inference in inverse problems
Ali Siahkoohi
G. Rizzuti
M. Louboutin
Philipp A. Witte
Felix J. Herrmann
64
32
0
11 Jan 2021
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
Badr-Eddine Chérief-Abdellatif
Pierre Alquier
56
72
0
29 Sep 2019
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
270
5,660
0
05 Dec 2016
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
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