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
Coffee
Presentations I
1
Welcome
Speaker
:
Jens Sören Lange
(
JLU Giessen
)
lange_einleitung.pdf
2
Overview (experimental setup, pixel and clusters, search for rare events with new physics, results from multilayer perceptron, results from self-organizing maps)
Speaker
:
Katharina Dort
(
JLU Giessen
)
neuroseminar_katharina_dort_022020.pdf
3
Understanding the n-dim data (principal components analysis, results from self-organizing maps with transformed input)
Speaker
:
Stephanie Käs
(
JLU Giessen
)
PXD_Dataset_PCA_SOMS_Stephanie_Kaes.pdf
4
Results from Hopfield networks
Speaker
:
Irina Heinz
(
JLU Giessen
)
HopfieldNetwork.pdf
5
Convolutional networks
Speaker
:
Klaus Rinn
(
THM
)
MEK_NN.pdf
6
Self-organizing maps
Speaker
:
Marc Strickert
(
JLU Giessen
)
20200221_strickert_nngi.pdf
12:30
Pizza
Presentations II
7
Deep learning applications for the CBM experiment at Fair and the NA61 experiment at CERN
Speaker
:
Olena Lynnik
(
JLU Giessen, FIAS, milch&zucker
)
21.02.2020.Olena_Linnyk_Giessen.pdf
8
Hardware implementation (FPGA, GPU)
Speaker
:
Jens Sören Lange
(
JLU Giessen
)
lange_hardware.pdf
9
Discussion and Wrap-Up