In the CAIML seminar series, students and CAIML partners present and discuss current research topics and projects. Students write summaries of the talks in each session.

After successful completion of the course, students are able to provide an overview on the new research topcis and issues on AI and ML.

Visit the TISS page for further information.

Seminar Overview

27.11.2024 - Benedikt Hartl: “Evolutionary Implications of Multi-Scale Intelligence”

25.11.2024 - Pascal Welke: “Expressive Graph Embeddings via Homomorphism Counts”

24.10.2024 - Michael Bronstein: “Physics-Inspired Learning on Graphs”

24.10.2024 - Ismail Ilkan Ceylan: “What You Always Wanted to Know about Graph Learning (And Never Dared to Ask)”

13.06.2024 - Marco Marrone: “The Infrastructural Power of Digital Platforms (and how to challenge it)”

23.05.2024 - Lukas Grasmann: “Forecasting in Real-World Retail and Wholesale Environments”

06.05.2024 - Martina Seidl: “AI, Fast and Slow” at CAIML Symposium 2024

11.04.2024 - Hana Rudová: “Planning in Complex Warehouse”

15.03.2024 - Johannes Fürnkranz: “Towards Deep and Interpretable Rule Learning”