2021 Hauptseminar: Machine Learning for (Particle and Nuclear) Physics

Topics	Date	Discussion and Presentation Sessions

Introduction	14.04.2021	Topic 2 (SVM), Topic 3 (Fisher)
Preparation - Discussion	21.04.2021	Topic 1 (BDT), Topic 4 (Biol. Neuron), Topic 7 (Higgs ANN tutorial)
Preparation - Discussion	28.04.2021	Topic 5 (ANN training), Topic 6 (Deep NN and missing Et), Topic 9 (Proton range ANN tutorial)
Dies Academicus	05.05.2021	Topic 8 (Graph NN and DUNE), Topic 10 (GAN e.m. shower tutorial)
1st Presentation	12.05.2021	--- cancelled ---
2nd Presentation	19.05.2021	Kilian Möhling: Support Vector Machines
Pfingsten / Pentecost	26.05.2021
3rd Presentation	02.06.2021	Vincent Melzer: Fisher discriminant and activation functions
4th Presentation	09.06.2021	Maximilian Kotz: Biological neuron
5th Presentation	16.06.2021	Jannik Friese: Neural network training
6th Presentation	23.06.2021	Alexander Lettau: Deep neural networks and missing Et measurement
7th Presentation	30.06.2021	Mareen Hoppe, Erik Bachmann: Tutorial - Higgs search with deep networks
8th Presentation	07.07.2021	Shaonty Dutta: Graph neural network and DUNE data processing
9th Presentation	14.07.2021	Gwendolyn Quasebarth, Maren Bühring: Tutorial - Proton range verification with neural networks
10th Presentation	21.07.2021	Sneha Verma Prakash, Parvez Mohammed, Till Lossin: Electromagnetic shower simulation with generative neural networks

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