15-18 April 2019
Europe/Zurich timezone
There is a live webcast for this event.

Decoding Physics Information in DNNs

16 Apr 2019, 09:25
500-1-001 - Main Auditorium (CERN)

500-1-001 - Main Auditorium


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Taoli Cheng (University of Montreal)


A more dedicated study on the information flow in DNNs will help us understand their behaviour and the deep connection between DNN models and the corresponding tasks. Taking into account our well-established physics analysis framework (observable-based), we present a novel way to interpret DNNs results for HEP, which not only gives a clear physics picture but also inspires interfaces with the theoretical foundation. Information captured by DNNs can thus be used as a fine-tailored general-purpose encoder. As a concrete example, we showcase using encoded information to help with physics searches at the LHC.

Preferred contribution length 20 minutes

Primary author

Taoli Cheng (University of Montreal)

Presentation Materials

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