Published September 15, 2023
| Version v1
Dataset
Open
Datasets and Trained Models of the paper: The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows
Description
Training Data and Trained models corresponding to the publication: 'The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows' (arXiv:2309.09743).
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)
Name | Size | Download all |
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md5:95683c1d278cd5cc51884675ab66aacc
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3.7 GB | Preview Download |