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Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning

Oct 17, 2019
Johann Brehmer, Siddharth Mishra-Sharma, Joeri Hermans, Gilles Louppe, Kyle Cranmer

* 23 pages, 6 figures, code available at https://github.com/smsharma/mining-for-substructure-lens; v2, minor changes to text, version accepted in ApJ 

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Likelihood-free MCMC with Approximate Likelihood Ratios

Mar 10, 2019
Joeri Hermans, Volodimir Begy, Gilles Louppe

* 13 pages, 10 figures 

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Adversarial Variational Optimization of Non-Differentiable Simulators

Oct 05, 2018
Gilles Louppe, Joeri Hermans, Kyle Cranmer


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Gradient Energy Matching for Distributed Asynchronous Gradient Descent

May 22, 2018
Joeri Hermans, Gilles Louppe


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Accumulated Gradient Normalization

Oct 06, 2017
Joeri Hermans, Gerasimos Spanakis, Rico Möckel

* 16 pages, 12 figures, ACML2017 

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