Machine Learning Algorithms and Applications

General information

Format

In this course, you will experience the role of a typical machine learning researcher. You will:

There are three types of projects:


Working on the project consists of the following steps:

1. Problem statement

Choose a project topic or come up with your own, original idea. Then, write a short problem statement, including your research question, motivation, related work, methodology, and expected results.

2. Working phase

Work on your project and present your work to colleagues and our group. Additionally, you will have discussion meetings with your supervisor if needed.

3. Final submission

Design a poster and write a short final report to present the results of your work. Your poster will be exhibited to your colleagues and our group during a poster session (snacks included, if Covid allows it!) at the end of the semester.

Projects (Tentative)

We are happy to supervise machine learning related projects that are connected to our research interests. Examples are:

Analysis of (Bacteriophage) Cocktails (click to expand)
Convexity in real-world graphs (click to expand)
Cross-target Learning (click to expand)
Harnessing graph structures to make GNNs more efficient (click to expand)
Extracting Emotional Status from Biosignals (click to expand)
Graph-based active learning (click to expand)
GNNs for learning on Planar Graphs (click to expand)
Using randomness to increase the predictive powers of GNNs (click to expand)
Robust Machine Learning (click to expand)
Scalable Interactive Analysis (click to expand)
Predictive maintenance for car chassis components (click to expand)
Entity classification in crypto ecosystems (click to expand)

Your own idea!

Describe the scientific merit and novelty of your idea. It is very important to narrow down the rough topic to a tentative research question and approach of interest to us. The research question should not have been answered previously and the answer needs to be verifiable. To answer the question, typically one has to:

If you choose your own topic, please briefly describe your project following this structure (check our suggested topics to get an idea):

General resources (freely available books and lecture notes)