Name: Machine learning in high energy physics: a conversation over ice cream
Start: 2021-10-05T16:00:00+02:00
End: 2021-10-05T18:00:00+02:00
Location: No location set

Machine learning in high energy physics: a conversation over ice cream

Tuesday 5 October 2021 - 16:00

: Sessions

: Talks

: Breaks

5 Oct 2021

16:00	Introduction to machine learning in high energy physics - Gregor Kasieczka (Hamburg University (DE)) DeepLearning_IceCream_2021.pdf
16:25	Graph neural networks - Nikita Kazeev (Yandex School of Data Analysis (RU)) GraphNN_CERN_ice_cream.pdf GraphNN_CERN_ice_cream.pptx
16:50	Generative Models and Where to Find Them in HEP - Michael Aaron Kagan (SLAC National Accelerator Laboratory (US)) Kagan_Oct5_2021.pdf
17:15	BDT, shallow and deep neural network techniques for analysis and detector reconstruction - Gian Michele Innocenti (CERN) 20211005_Innocenti.pdf

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