Towards constraining warm dark matter with stellar streams through
neural simulation-based inference

Towards constraining warm dark matter with stellar streams through neural simulation-based inference

30 November 2020

Christoph Weniger

Papers citing "Towards constraining warm dark matter with stellar streams through neural simulation-based inference"

10 / 10 papers shown

Title
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 63 12 0 15 Mar 2022
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 108 834 0 04 Nov 2019
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning Johann Brehmer S. Mishra-Sharma Joeri Hermans Gilles Louppe Kyle Cranmer 42 73 0 04 Sep 2019
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations Niccolò Dalmasso Ann B. Lee Rafael Izbicki T. Pospisil Ilmun Kim Chieh-An Lin 48 8 0 27 May 2019
Mining gold from implicit models to improve likelihood-free inference Johann Brehmer Gilles Louppe J. Pavez Kyle Cranmer AI4CE TPM 104 181 0 30 May 2018
Constraining Effective Field Theories with Machine Learning Johann Brehmer Kyle Cranmer Gilles Louppe J. Pavez AI4CE 43 151 0 30 Apr 2018
Don't Decay the Learning Rate, Increase the Batch Size Samuel L. Smith Pieter-Jan Kindermans Chris Ying Quoc V. Le ODL 93 990 0 01 Nov 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Adapting the ABC distance function D. Prangle 67 93 0 03 Jul 2015
Diagnostic tools of approximate Bayesian computation using the coverage property D. Prangle M. Blum Gordana C. Popovic Scott A. Sisson 66 68 0 14 Jan 2013

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