This block seminar course will be held in English, towards the end of the 2024/25 winter semester. Enrollment is restricted to 20 students, preferably with a background in AI (including methods from machine learning, optimisation, planning and scheduling, multi-agent systems and other areas of AI). Students will work in groups of two on a range of topics from AutoAI, which spans the automated design and analysis of AI methods, including automated algorithm selection and configuration, automated machine learning techniques (including neural architecture search), and automated performance prediction. Each group will be assigned recently published work from the research literature, which will serve as the starting point for an in-depth investigation of a specific topic; the results of this investigation will be presented in class and compiled into a report.
The seminar (including the final report) is held in English.
Preferably students should have a background in AI (including methods from machine learning, optimisation, planning and scheduling, multi-agent systems and other areas of AI).
Registration to the seminar is handled via the SuPra system.
Prof. Dr. Holger H. Hoos
Chair Holder, Alexander von Humboldt Professor
E-mail: hh[at]aim[dot]rwth-aachen[dot]de
Phone: +49 241 80 21451
