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Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks
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Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks

Pablo Lemos
M. Cranmer
Muntazir M. Abidi
C. Hahn
Michael Eickenberg
E. Massara
David Yallup
S. Ho
ArXiv (abs)PDFHTML

Papers citing "Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks"

10 / 10 papers shown
Title
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Julius Vetter
Manuel Gloeckler
Daniel Gedon
Jakob H Macke
115
1
0
24 Apr 2025
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
61
3
0
29 Sep 2024
Low-Budget Simulation-Based Inference with Bayesian Neural Networks
Low-Budget Simulation-Based Inference with Bayesian Neural Networks
Arnaud Delaunoy
Maxence de la Brassinne Bonardeaux
S. Mishra-Sharma
Gilles Louppe
76
2
0
27 Aug 2024
Isolated pulsar population synthesis with simulation-based inference
Isolated pulsar population synthesis with simulation-based inference
V. Graber
M. Ronchi
C. Pardo-Araujo
N. Rea
44
5
0
22 Dec 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
95
9
0
06 Jun 2023
Parallelized Acquisition for Active Learning using Monte Carlo Sampling
Parallelized Acquisition for Active Learning using Monte Carlo Sampling
J. Torrado
Nils Schöneberg
Jonas El Gammal
68
2
0
30 May 2023
Adversarial robustness of amortized Bayesian inference
Adversarial robustness of amortized Bayesian inference
Manuel Glöckler
Michael Deistler
Jakob H. Macke
AAML
92
16
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
69
8
0
18 May 2023
Fast and robust Bayesian Inference using Gaussian Processes with GPry
Fast and robust Bayesian Inference using Gaussian Processes with GPry
Jonas El Gammal
Nils Schöneberg
J. Torrado
C. Fidler
GP
99
16
0
03 Nov 2022
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks
Ponkrshnan Thiagarajan
Susanta Ghosh
BDL
61
8
0
23 Sep 2022