Dec 12 – 15, 2022
Europe/Paris timezone

Reusing Neural Networks: Lessons learned and Suggestions for the future

Dec 12, 2022, 5:00 PM
30/7-018 - Kjell Johnsen Auditorium (CERN)

30/7-018 - Kjell Johnsen Auditorium


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Tomasz Procter (University of Glasgow (GB))


I present the lessons learned as re-interpreters trying to reuse analyses centred on neural networks in the RIVET framework, using two recent ATLAS analyses -- SUSY and Exotics searches -- as examples. I survey the possible ways that an analysis team can preserve and publicise their neural network for future use, and provide a detailed examination of the ONNX and lwtnn preservation tools, describing their advantages and disadvantages for both the original analysis team and re-interpreters.
I also comment on how thinking about re-use from the beginning could change how analyses design and use neural networks; and what supplementary data becomes even more important for validation.

Primary author

Tomasz Procter (University of Glasgow (GB))

Presentation materials