Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2301.13368
Cited By
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
Re-assign community
ArXiv
PDF
HTML
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
Marvin Schmitt
Paul-Christian Burkner
Ullrich Kothe
Stefan T. Radev
35
6
0
05 Jun 2024
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
Daolang Huang
Ayush Bharti
Amauri Souza
Luigi Acerbi
Samuel Kaski
38
30
0
25 May 2023
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
Richard Gao
Michael Deistler
Jakob H. Macke
22
11
0
24 May 2023
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
Louis Sharrock
J. Simons
Song Liu
Mark Beaumont
DiffM
52
33
0
10 Oct 2022
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
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
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
Badr-Eddine Chérief-Abdellatif
Pierre Alquier
56
72
0
29 Sep 2019
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
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
1