Cargando…
Enhancing likelihood distribution with the DNNLikelihood framework
<!--HTML-->The DNNLikelihood framework is presented and its main features discussed. Such framework encodes the experimental likelihood functions in deep neural networks and allows for a lightweight and platform-independent distribution of physics results through the ONNX model format. The pro...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2752547 |