Exploring Pyhep 2021 Madminer A Python Based Tool For Simulation Based Inference In Hep
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- Matthew Feickert gives a tutorial on using pyhf for accelerating analyses and preserving likelihoods. Part of the
- What is
- More details: https://www.simonsfoundation.org/event/learn-the-universe-an-ml-x-cosmology-workshop/
- Presentation By Gilles Louppe from The University of Liege for the Data Learning working group on 'The frontier of ...
- Recorded 17 November
In-Depth Information on Pyhep 2021 Madminer A Python Based Tool For Simulation Based Inference In Hep
MadMiner The Standard Model Effective Field Theory (SMEFT) extends the SM with higher-dimensional operators each scaled by a ... Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences ... 2 min - summary of our recent paper on "Bayesian model comparison for
Talk by Jakob Macke at the One World ABC Seminar on April 29
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