Anomaly detection with neural networks
Friday 21 Feb 2020, 09:00
→
22:05
Europe/Berlin
Chemistry EG 18 (Giessen University)
Chemistry EG 18
Giessen University
09:30
→
10:00
Coffee
09:55
→
22:05
Presentations I
09:55
Welcome
5m
Speaker
:
Jens Sören Lange
(
JLU Giessen
)
lange_einleitung.pdf
10:00
Overview (experimental setup, pixel and clusters, search for rare events with new physics, results from multilayer perceptron, results from self-organizing maps)
40m
Speaker
:
Katharina Dort
(
JLU Giessen
)
neuroseminar_katharina_dort_022020.pdf
10:40
Understanding the n-dim data (principal components analysis, results from self-organizing maps with transformed input)
25m
Speaker
:
Stephanie Käs
(
JLU Giessen
)
PXD_Dataset_PCA_SOMS_Stephanie_Kaes.pdf
11:05
Results from Hopfield networks
25m
Speaker
:
Irina Heinz
(
JLU Giessen
)
HopfieldNetwork.pdf
11:30
Convolutional networks
30m
Speaker
:
Klaus Rinn
(
THM
)
MEK_NN.pdf
12:00
Self-organizing maps
30m
Speaker
:
Marc Strickert
(
JLU Giessen
)
20200221_strickert_nngi.pdf
12:30
→
13:30
Pizza
1h
13:30
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16:00
Presentations II
13:30
Deep learning applications for the CBM experiment at Fair and the NA61 experiment at CERN
30m
Speaker
:
Olena Lynnik
(
JLU Giessen, FIAS, milch&zucker
)
21.02.2020.Olena_Linnyk_Giessen.pdf
14:00
Hardware implementation (FPGA, GPU)
30m
Speaker
:
Jens Sören Lange
(
JLU Giessen
)
lange_hardware.pdf
14:30
Discussion and Wrap-Up
1h 30m