Lecture 1: Foundations of Machine Learning (Wojciech Kotlowski)

Lecture 2: Uncertainty in Machine Learning (Eyke Hüllermeier)

Lecture 3: Learning with Drift (Barbara Hammer)

Training 1: Evaluating machine learning (Michael Röder) Please note that the Training Session is open to PhD Students only.

Winter School Dinner The AI Winter School Dinner will take place from 18:30 in the Schützenhof Paderborn. There is the possibility to use a shared shuttle bus from the university. Meeting point for the shuttle bus is at 17:45 in the foyer of the L-building. If you would like to travel yourself, see https://www.schuetzenhof.de/kontakt/anfahrt/.

Summary and announcements

Lecture 4: Neuro-Symbolic Learning I (Luc De Raedt)

Lecture 5: Neuro-Symbolic Learning II (Luc De Raedt)

Training 2: Research methodology: Of time and tools (Caglar Demir) Please note that the Training Session is open to PhD Students only.

Poster Session (TBA)

Social Evening Out You can organize the Social Evening Out as you wish. We have attached a Google Maps list to give you a little inspiration. Get together in small groups, discover Paderborn and exchange ideas, whether over pizza, sushi, schnitzel or a curry - there's something for everyone on our list. https://maps.app.goo.gl/R4nNRDMkwdjKatQU7

Summary and announcements

Lecture 6: Class Expression Learning (Axel Ngonga)

Lecture 7: Responsible ML (Monowar Bhuyan)

Training 3: Career planning This training is about all questions around the scientific career. Barbara Hammer, Eyke Hüllermeier, Gabriella Pasi and Monowar Bhuyan talk about their path to science and discuss with you what is important when embarking on this career. In an "Ask me Anything" session you'll have the opportunity to ask anything you've always wanted to know about working in science. You are also welcome to submit a question anonymously in advance: https://app.sli.do/event/oYQFQs9afD9QUtX6dbjHPt/live/questions Please note that the Training Session is open to PhD Students only.

Summary