We are looking for highly motivated students who want to participate, during their Bachelor/Master Project and/or Thesis, in research on areas of machine learning, deep learning, and brain-inspired paradigms for computing and learning. Concete topics for Bachelor theses (B), seminar projects (P), Master theses (M) are listed below. Topics can be specialized further in discussion with the student, in order to accomodate prior knowledge and interests.
| Project Topic | Type | Contact |
| Learning compact codes for prediction | B/P/M | Robert Legenstein |
| Learning models for reinforcement learning | B/P/M | Robert Legenstein |
| Predictive learning with SNNs | B/P/M | Robert Legenstein |
| Learning with random weights | B/P/M | Robert Legenstein |
| SNNs with adaptive leaky integrate-and-fire neurons | B/P/M | Robert Legenstein |
| Leveraging Logical Circuits in Probabilistic Programming Lang. | P/M | Robert Peharz, Thomas Wedenig |
| Artificial Architectural Intelligence: Generating 3D Geometries with Diffusion Models | P/M | Robert Legenstein, Ozan Özdenizci |
Institute of Machine Learning and Neural Computation
Inffeldgasse 16b/I
8010 Graz
Phone: +43 (0) 316 / 873 - 5811
marion.rabitsch@tugraz.at