Program

Tuesday, 13.09.2022

08:00
Opening of the Summer-School & Networking
10:00
Coffee break & Networking, Division into the individual sessions
10:30
Session 1
Session 1

Foundations I

An Introduction to Fundamental Algorithms for Machine Learning

  • Prof. Mnich
more >

Use Case MLE I

Application and Chances of Machine Learning Methods in the Electromagnetic Compatibility

more >

Use Case DESY I

Machine Learning for Anomaly Detection

more >

Use Case DESY II

Reinforcement Learning for the Optimization of Particle Accelerators

more >
12:00
Lunch & Networking
12:45
Elevator Pitches

all registered participants

13:30
Session 2
Session 2

Foundations II

Selected Statistical Methods

more >

Use Case MLE II

Detecting Faults, Failures, and Anomalies with Machine Learning

more >

Use Case DESY II, cont.

Reinforcement Learning for the Optimization of Particle Accelerators

more >
15:00
Coffee break & Networking
15:30
Session 3
Session 3

Foundations III

Introduction to the Stochastic Gradient Method

more >

Use Case MLE III

Selection of effective additives for advanced engineering materials using quantitative structure-activity/property-relationship models

more >

Use Case DESY III

Spectral Deep-Learning for Solving Differential Equations: Schrödinger Equation as an Example

more >
17:00
Poster-Session I

all registered participants

17:45
End of the first day, transfer to the social event
19:00
Social Event

all registered participants

Wednesday, 14.09.2022

08:30
Beginn of Day 2 & Networking
09:00
Re-Opening & Keynote II: Federated Learning

Prof. Volker Turau, Prof. Stefan Schulte

10:00
Coffee break & Networking, Division into the individual sessions
10:30
Session 4
Session 4

Hands On I

Part I

Introduction to Julia

more >

Hands On II

Part I

Implementation of neural networks on resource-constrained microcontrollers for sensor applications

more >

Hands-On III

Part I

Introduction to artificial neural networks: classifying handwritten numbers using Python and Tensorflow/Keras

more >
12:00
Lunch & Networking
12:45
Poster-Session II

all registered participants

13:30
Session 5
Session 5

Hands-On I

Part II

Introduction to Julia

more >

Hands-On II

Part II

Implementation of neural networks on resource-constrained microcontrollers for sensor applications

more >

Hands-On III

Part II

Introduction to artificial neural networks: classifying handwritten numbers using Python and Tensorflow/Keras

more >
15:00
Coffee break & Networking
15:30
Closing and Awards

Closing Session and Best Poster / Pitch Awards

16:30
17:30
End of the 2022 MLE Summer-School