Dr. Bogdan Savchynskyy, Prof. Dr. Carsten Rother, WiSe 2020/21
This seminar belongs to the Master in Physics (specialisation Computational Physics, code "MVJC"), Master of Applied Informatics (code "IS") as well as Master Mathematics (code "MS") programs, but is also open for students of Scientific Computing and anyone interested.Summary
Machine learning techniques are tightly coupled with optimization methods. Many techniques become practical only if there exists a supporting optimization tool.
In the seminar we will discuss a number of recent articles on combinatorial optimization with applications in computer vision and machine learning.
The topic of this semester is
Neural Networks meet Combinatorial Optimization
In particular, we will consider methods for
- training parameters of combinatorial optimization algorithms with the machine learning techniques,
- combinatorial optimization based loss-functions for deep learning
General Information
Please register for the seminar in Müsli. The seminar will be held online in MS Teams, all links will be send per email via Müsli.
Attention: To be able to join the seminar online you must enable MS Teams here. Please do it ASAP, your request may take several days.
The first seminar will take place on Wednesday, November 4 at 16:00. Please make sure to participate!
- Seminar: Wed, 16:00 – 18:00
- Credits: 2 / 4 / 6 CP depending on course of study