2nd deep neural network workshop

Contribution List

1. Deep learning basics

Junghwan Goh (Hanyang University (KR))

07/09/2018, 10:00

Deep learning

2. Deep learning tutorial

Ian James Watson (University of Seoul)

07/09/2018, 10:50

Deep learning

11. Tutorial part 2

Ian James Watson (University of Seoul)

07/09/2018, 13:00

Deep learning

3. Analyzing ROOT tree with Keras

Jae Hoon Lim (Korea University (KR))

07/09/2018, 13:40

Deep learning

4. Deep learning for quark/gluon discrimination

Seungjin Yang (University of Seoul, Department of Physics (KR))

07/09/2018, 14:00

Deep learning

5. Deep learning for FCNC search

Jiwon Park (Hanyang University)

07/09/2018, 14:30

Deep learning

6. Generative methods for creating realistic backgrounds

Su Yong Choi (Korea University (KR))

07/09/2018, 15:00

Deep learning

7. Multiple Quantile estimation by deep neural network

Prof. Jongjune Jeon

07/09/2018, 16:00

Deep learning

8. Machine learning in large scale cosmic data

Dr Sung Wook Hong (U. of Seoul)

07/09/2018, 16:30

Deep learning

9. Machine learning in Heavy Ion Physics

Prof. MinJung Kweon (Inha University)

07/09/2018, 17:00

Deep learning

10. Binary vs Multiclass Classifiers using Deep Neural Networks in search for Higgs boson pair production at the LHC

Dr Wonsang Cho (Seoul Nat'l Univ.)

07/09/2018, 17:30

Deep learning

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