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A neural simulation-based inference approach for characterizing the
  Galactic Center $γ$-ray excess
v1v2 (latest)

A neural simulation-based inference approach for characterizing the Galactic Center γγγ-ray excess

13 October 2021
S. Mishra-Sharma
Kyle Cranmer
ArXiv (abs)PDFHTML

Papers citing "A neural simulation-based inference approach for characterizing the Galactic Center $γ$-ray excess"

9 / 9 papers shown
Title
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Sanghwan Bae
Jiwoo Hong
Min Young Lee
Hanbyul Kim
Jeongyeon Nam
Donghyun Kwak
OffRLLRM
148
12
0
04 Apr 2025
sbi reloaded: a toolkit for simulation-based inference workflows
sbi reloaded: a toolkit for simulation-based inference workflows
Jan Boelts
Michael Deistler
Manuel Gloeckler
Álvaro Tejero-Cantero
Jan-Matthis Lueckmann
...
Jonas Beck
J. Kapoor
David S. Greenberg
P. J. Gonçalves
Jakob H Macke
166
6
0
26 Nov 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
63
1
0
27 Sep 2024
A deep learning framework for jointly extracting spectra and
  source-count distributions in astronomy
A deep learning framework for jointly extracting spectra and source-count distributions in astronomy
Florian Wolf
Florian List
N. L. Rodd
Oliver Hahn
51
0
0
06 Jan 2024
Sampling-Based Accuracy Testing of Posterior Estimators for General
  Inference
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos
A. Coogan
Y. Hezaveh
Laurence Perreault Levasseur
82
31
0
06 Feb 2023
Extracting the gamma-ray source-count distribution below the Fermi-LAT
  detection limit with deep learning
Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning
Aurelio Amerio
A. Cuoco
N. Fornengo
62
4
0
03 Feb 2023
Uncertain Evidence in Probabilistic Models and Stochastic Simulators
Uncertain Evidence in Probabilistic Models and Stochastic Simulators
Andreas Munk
A. Mead
Frank Wood
51
3
0
21 Oct 2022
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows
Maksim Zhdanov
L. Randolph
T. Kluge
M. Nakatsutsumi
C. Gutt
M. Ganeva
Nico Hoffmann
78
0
0
04 Oct 2022
Simulator-Based Inference with Waldo: Confidence Regions by Leveraging
  Prediction Algorithms and Posterior Estimators for Inverse Problems
Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems
Luca Masserano
T. Dorigo
Rafael Izbicki
Mikael Kuusela
Ann B. Lee
82
13
0
31 May 2022
1