Published September 15, 2023 | Version v1
Dataset Open

Datasets and Trained Models of the paper: The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows

  • 1. University of Genoa
  • 2. INFN Genoa

Description

Training Data and Trained models corresponding to the upcoming paper: 'The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows'

The files cointain the relevant resources for 3 trained Likelihood functions: The Toy-Likelihood, the EW-Likelihood and the Flavor-Likelihood. In each corresponding directory, the training data is found in \data. The trained model and generated samples are found in \NFmodel.

To reproduce the published results, git clone https://github.com/NF4HEP/NFLikelihoods,  and plug in the provided resources in the corresponding directories of the code.

 

 

Files

NFlikelihoodsData.zip

Files (3.7 GB)

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md5:95683c1d278cd5cc51884675ab66aacc
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