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Anomaly detection with neural networks

21 February 2020

Giessen University

Europe/Berlin timezone

Contribution List

9. Welcome

Jens Sören Lange (JLU Giessen)

21/02/2020, 09:55

Presentations I
1. Overview (experimental setup, pixel and clusters, search for rare events with new physics, results from multilayer perceptron, results from self-organizing maps)

Katharina Dort (JLU Giessen)

21/02/2020, 10:00

Presentations I
2. Understanding the n-dim data (principal components analysis, results from self-organizing maps with transformed input)

Stephanie Käs (JLU Giessen)

21/02/2020, 10:40

Presentations I
3. Results from Hopfield networks

Irina Heinz (JLU Giessen)

21/02/2020, 11:05

Presentations I
4. Convolutional networks

Klaus Rinn (THM)

21/02/2020, 11:30

Presentations I
5. Self-organizing maps

Marc Strickert (JLU Giessen)

21/02/2020, 12:00

Presentations I
6. Deep learning applications for the CBM experiment at Fair and the NA61 experiment at CERN

Olena Lynnik (JLU Giessen, FIAS, milch&zucker)

21/02/2020, 13:30

Presentations II
7. Hardware implementation (FPGA, GPU)

Jens Sören Lange (JLU Giessen)

21/02/2020, 14:00

Presentations II
8. Discussion and Wrap-Up

21/02/2020, 14:30

Presentations II

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