This is a hybrid event: 40 places in person at DESY Hamburg, 110 online.
The school aims at PhD students and young postdocs, and offers talks from leading experts in the field on their current research projects, and some exercises. The list of lectures comprises:
- Network architectures with a focus on Graph networks
- Generative Models
- Normalising Flows
- Weak classification and anomaly detection
- Machine learning on FPGAs
In order to participate successfully in the school, we expect you to have a basic unterstanding of ML including programming in Python.
- Basic knowledge of Python programming: defining variables, writing functions, importing modules.
Some prior experience with the NumPy, pandas and Matplotlib libraries is recommended but not required.
The fee for the in-person participation is 60 Euro and has to be paid via PayPal after the approval of the registration.
Zoom link:
Meeting ID: 691 6772 8936
Passcode: 165916
The school is supported by the Excellence Cluster Quantum Universe Hamburg.
