Date
July 18-22, 2023
Topic
Machine Learning
Lecturers
Hannah Bossi (Yale University, USA)
Daniel Murnane (LBNL)
Liv Helen Vage (Imperial College)
Patrick McCormack (MIT)
Coordinators
Henner Büsching (HGS-HIRe)
Mario Krüger (local)
Course Information
Course Contents/Program
The focus of the power week on machine learning will be on code development and optimization for machine learning based
problems in high energy physics. There will be a few introductory lectures based on relevant machine learning concepts,
but most of the time will be spent on hands-on sessions working together in small groups.
Topics covered:
- Overview of ML Architectures
- Feed forward
- CNN / image
- RNN / series
- GNN - Transformer / set, pointcloud
- Training ML Architectures
- Loss function
- Supervised tasks
- Semi-/Un-supervised tasks
- Quantifying Uncertainty/Bias in ML
- Architecture/ML Uncertainty
- Physics Bias
- ML Applications in HEP
- HEP ML in production
- Onnx
- Prune / shrink models
- Measure computational / physics performance
Prerequisites:
- Comfortable with python and tools such as numpy, etc.
- Some ML experience helpful
What to bring
Please bring your own laptop.
Agenda
A more detailed schedule will be announced by the tutors on the first day of the course
and possibly adapted to the daily requirements during the week.
Tuesday, July 18:
10:00 - Start of the first lecture
Wednesday, July 19 - Friday, July 21:
All day - Educational sessions and hand on excercises
Saturday, July 22:
~15:00 - End of the course
Practical Information
Registration
Registration is done via email to info@hgs-hire.de.
Begin/End
The scientific program of the power week starts with the first lecture on Tuesday, July 18, at 10:00.
Please arrive well in time, preferably not later that 9:30. The power week will close on Saturday afternoon
around 15:00.
Late arrivals
If you will arrive late please contact the coordinator in advance.
Venue
The power week will be held at Martin-Niemöller-Haus,
Am Eichwaldsfeld 3, 61389 Schmitten/Arnoldshain in the Taunus.
Directions can be found here
.
Travel
Please arrange for individual travel to the location. You can reach the venue by public transport (bus),
otherwise please try to travel by car pool. If somebody want to offer a lift, please contact the other
participants of the power week via the communicated mailing list.
Accomodation
Accomodation is mostly in twin bed rooms.
Food
Special food requirements (vegetarian, other) should be communicated to the coordinator in advance.
Full board is included in the power week.
What to bring additionally
Clothing: The power week will be very informal, so only casual attire is necessary.
Linen/towel/others: All rooms have linen and towels, no need to bring them.
Shower gel, shampoo and hair dryers are not provided.
Internet
Wireless internet access is available. Please don't forget to bring your own laptop!
Expenses
All basic expenses are covered by HGS-HIRe.
You only have to pay for local expenses (drinks in the evening etc.). All meals are included.
Insurance
Though this trip will not generate any costs for your supervisor or group please
do not forget to file a trip request so you are covered by insurance during the
power week. Please ask the secretary of your official supervisor at the university
for the appropriate form.
Participants (max. 21)
For privacy reasons we cannot display the list of participants here.
List of Participants (internal)