Bayesian uncertainty quantification for machine-learned models in physics
Y Gal, P Koumoutsakos, F Lanusse, G Louppe… - Nature Reviews …, 2022 - nature.com
… One of the most compelling examples of using neural networks under a sound statistical framework is the recent growth of simulation-based inference techniques 1 based on neural …
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… One of the most compelling examples of using neural networks under a sound statistical framework is the recent growth of simulation-based inference techniques 1 based on neural …