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Calibrating Neural Simulation-Based Inference with Differentiable
  Coverage Probability

Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability

20 October 2023
Maciej Falkiewicz
Naoya Takeishi
Imahn Shekhzadeh
Antoine Wehenkel
Arnaud Delaunoy
Gilles Louppe
Alexandros Kalousis
ArXiv (abs)PDFHTML

Papers citing "Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability"

13 / 13 papers shown
Title
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Jiayi Huang
Sangwoo Park
Osvaldo Simeone
214
2
0
03 Jan 2025
Validation Diagnostics for SBI algorithms based on Normalizing Flows
Validation Diagnostics for SBI algorithms based on Normalizing Flows
J. Linhart
Alexandre Gramfort
P. L. C. R. M. -. Inria
65
7
0
17 Nov 2022
Gradients should stay on Path: Better Estimators of the Reverse- and
  Forward KL Divergence for Normalizing Flows
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows
Lorenz Vaitl
K. Nicoli
Shinichi Nakajima
Pan Kessel
87
26
0
17 Jul 2022
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
259
198
0
12 Jan 2021
On Contrastive Learning for Likelihood-free Inference
On Contrastive Learning for Likelihood-free Inference
Conor Durkan
Iain Murray
George Papamakarios
BDL
209
124
0
10 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPMAI4CE
207
1,711
0
05 Dec 2019
The frontier of simulation-based inference
The frontier of simulation-based inference
Kyle Cranmer
Johann Brehmer
Gilles Louppe
AI4CE
185
855
0
04 Nov 2019
Automatic Posterior Transformation for Likelihood-Free Inference
Automatic Posterior Transformation for Likelihood-Free Inference
David S. Greenberg
M. Nonnenmacher
Jakob H. Macke
384
331
0
17 May 2019
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
533
370
0
18 May 2018
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
464
2,518
0
08 Jun 2017
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
292
3,283
0
09 Jun 2012
Simulation-based model selection for dynamical systems in systems and
  population biology
Simulation-based model selection for dynamical systems in systems and population biology
Tina Toni
M. Stumpf
124
290
0
09 Nov 2009
Adaptive approximate Bayesian computation
Adaptive approximate Bayesian computation
Mark Beaumont
J. Cornuet
Jean-Michel Marin
Christian P. Robert
203
646
0
15 May 2008
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