Name: ONLINE: Workshop on Perspectives and Applications of Deep Learning for Accelerated Scientific Discovery in Physics
Start: 2020-05-14T09:00:00+02:00
End: 2020-05-15T16:00:00+02:00
Location: No location set

ONLINE: Workshop on Perspectives and Applications of Deep Learning for Accelerated Scientific Discovery in Physics

from Thursday, 14 May 2020 (09:00) to Friday, 15 May 2020 (16:00)

Monday, 11 May 2020
Tuesday, 12 May 2020
Wednesday, 13 May 2020
Thursday, 14 May 2020
09:00 Welcome - Heloisa Bordallo (NBI)
Welcome
- Heloisa Bordallo (NBI)
09:00 - 09:15
09:15 Machine learning and particle physics - Andreas Salzburger (CERN)
Machine learning and particle physics
- Andreas Salzburger (CERN)
09:15 - 10:00
10:00 Data Challenges for accelerating scientific discovery at Neutron facilities - Jonathan Taylor (ess)
Data Challenges for accelerating scientific discovery at Neutron facilities
- Jonathan Taylor (ess)
10:00 - 10:45
10:45 coffe break
coffe break
10:45 - 11:15
11:15 Collaboration on analysis of 3D image data the QIM Center - Anders Dahl (Technical University of Denmark)
Collaboration on analysis of 3D image data the QIM Center
- Anders Dahl (Technical University of Denmark)
11:15 - 12:00
12:00 A data-driven approach in Astrophysics - Iary Davidzon (NBI/Cosmic Dawn Center)
A data-driven approach in Astrophysics
- Iary Davidzon (NBI/Cosmic Dawn Center)
12:00 - 12:45
12:45 lunch break
lunch break
12:45 - 14:00

14:00

14:00 - 15:30

14:00 - 15:30
Friday, 15 May 2020

10:00

10:00 - 11:30

10:00 - 11:30

11:30 lunch break
lunch break
11:30 - 13:00
13:00 Report from ML in hardware, and in Experiment control and design - Alberto Nannarelli (DTU)
Report from ML in hardware, and in Experiment control and design
- Alberto Nannarelli (DTU)
13:00 - 13:20
13:30 Report from data collection, reduction and analysisRe - Lamar Moore (STFC)
Report from data collection, reduction and analysisRe
- Lamar Moore (STFC)
13:30 - 13:50
14:00 Report from: Techniques: Unsupervised/reinforced learning - Iary Davidzon (NBI/Cosmic Dawn Center)
Report from: Techniques: Unsupervised/reinforced learning
- Iary Davidzon (NBI/Cosmic Dawn Center)
14:00 - 14:20
14:30 Report from Techniques: Deep NN - Troels Petersen (Niels Bohr Institute)
Report from Techniques: Deep NN
- Troels Petersen (Niels Bohr Institute)
14:30 - 14:50
15:00 Wrap up and ideas for a roadmap - Heloisa Bordallo (NBI) Troels Petersen (Niels Bohr Institute)
Wrap up and ideas for a roadmap
- Heloisa Bordallo (NBI)
- Troels Petersen (Niels Bohr Institute)
15:00 - 15:30

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