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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
ArXivPDFHTML

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

5 / 5 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
67
2
0
03 Jan 2025
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
48
33
0
10 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
213
1,277
0
02 Sep 2022
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
96
180
0
12 Jan 2021
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
130
3,260
0
09 Jun 2012
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