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Robust Neural Posterior Estimation and Statistical Model Criticism

Robust Neural Posterior Estimation and Statistical Model Criticism

12 October 2022
Daniel Ward
Patrick W Cannon
Mark Beaumont
Matteo Fasiolo
Sebastian M. Schmon
ArXivPDFHTML

Papers citing "Robust Neural Posterior Estimation and Statistical Model Criticism"

24 / 24 papers shown
Title
Robust Simulation-Based Inference under Missing Data via Neural Processes
Yogesh Verma
Ayush Bharti
Vikas K. Garg
68
0
0
03 Mar 2025
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
79
1
0
17 Feb 2025
Variational Autoencoders for Efficient Simulation-Based Inference
Variational Autoencoders for Efficient Simulation-Based Inference
Mayank Nautiyal
Andrey Shternshis
A. Hellander
Prashant Singh
69
0
0
21 Nov 2024
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational
  Lens Analysis
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis
Paxson Swierc
Marcos Tamargo-Arizmendi
A. Ćiprijanović
Brian D. Nord
33
1
0
21 Oct 2024
A Comprehensive Guide to Simulation-based Inference in Computational
  Biology
A Comprehensive Guide to Simulation-based Inference in Computational Biology
Xiaoyu Wang
Ryan P. Kelly
A. Jenner
D. Warne
Christopher C. Drovandi
30
3
0
29 Sep 2024
Embed and Emulate: Contrastive representations for simulation-based
  inference
Embed and Emulate: Contrastive representations for simulation-based inference
Ruoxi Jiang
Peter Y. Lu
Rebecca Willett
31
0
0
27 Sep 2024
Calibrated Multivariate Regression with Localized PIT Mappings
Calibrated Multivariate Regression with Localized PIT Mappings
Lucas Kock
G. S. Rodrigues
S. Sisson
Nadja Klein
David J. Nott
24
0
0
17 Sep 2024
Amortized Bayesian Workflow (Extended Abstract)
Amortized Bayesian Workflow (Extended Abstract)
Marvin Schmitt
Chengkun Li
Aki Vehtari
Luigi Acerbi
Paul-Christian Burkner
Stefan T. Radev
17
2
0
06 Sep 2024
SoftCVI: Contrastive variational inference with self-generated soft labels
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward
Mark Beaumont
Matteo Fasiolo
BDL
51
0
0
22 Jul 2024
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
37
6
0
05 Jun 2024
Addressing Misspecification in Simulation-based Inference through
  Data-driven Calibration
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Antoine Wehenkel
Juan L. Gamella
Ozan Sener
Jens Behrmann
Guillermo Sapiro
Marco Cuturi
J. Jacobsen
UQLM
64
8
0
14 May 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
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates
  of an Antarctic Ice Shelf from Isochronal Layers
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers
Guy Moss
V. Višnjević
Olaf Eisen
Falk M. Oraschewski
Cornelius Schroder
Jakob H. Macke
R. Drews
11
1
0
03 Dec 2023
Sensitivity-Aware Amortized Bayesian Inference
Sensitivity-Aware Amortized Bayesian Inference
Lasse Elsemüller
Hans Olischläger
Marvin Schmitt
Paul-Christian Burkner
Ullrich Kothe
Stefan T. Radev
23
7
0
17 Oct 2023
L-C2ST: Local Diagnostics for Posterior Approximations in
  Simulation-Based Inference
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
J. Linhart
Alexandre Gramfort
Pedro L. C. Rodrigues
16
6
0
06 Jun 2023
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
40
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
Adversarial robustness of amortized Bayesian inference
Adversarial robustness of amortized Bayesian inference
Manuel Glöckler
Michael Deistler
Jakob H. Macke
AAML
19
13
0
24 May 2023
Misspecification-robust Sequential Neural Likelihood for
  Simulation-based Inference
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
Ryan P. Kelly
David J. Nott
David T. Frazier
D. Warne
Christopher C. Drovandi
25
10
0
31 Jan 2023
Detecting Model Misspecification in Amortized Bayesian Inference with
  Neural Networks
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks
Marvin Schmitt
Paul-Christian Burkner
Ullrich Kothe
Stefan T. Radev
22
34
0
16 Dec 2021
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
104
184
0
12 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
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
1