This workshop, co-organized by ELISE, concerns machine learning (ML) approaches that operate at the human abstraction level, where the world is described by entities, concepts, and their mutual relationships. Among other topics, we cover multi-relational learning, learning with (temporal) knowledge graphs, interpretable and revisable AI via symbolic representations, and extracting logical programs from data. Methods include, e.g., embedding approaches, graph neural networks, scene graph analysis, neuro-symbolic programming, and inductive logic programming. We also expect fruitful interactions with closely related programs covering, e.g., NLP, vision, and geometric deep learning.
The workshop is hosted at the Scandic Grand Marina Congress Centrein downtown Helsinki, overlooking Helsinki harbour.
8:30 - 9:00 | Walk in and Coffee at Baltica Room at Scandic Grand Marina Congress Centre |
9:00 - 10:30 | 1st Morning Session |
Opening Remarks by Prof. Volker Tresp and the Organizing Commitee | |
Lightning Talk by every participant | |
10:30 - 10:50 | Coffee Break |
10:55 - 11:55 | 2nd Morning Session |
Learning representations for relational learning and literature-based discovery by Prof. Nada Lavrač (Jožef Stefan Institute, University of Nova Gorica)(Zoom Link) | |
Discussions | |
11:55 - 12:55 | Lunch Break |
13:00 - 14:15 | Afternoon Session |
A Unified Approach to Learning over Time and Logic Reasoning (online) by Prof. Marco Gori (University of Siena) (Zoom Link) | |
Discussions | |
Closing Remarks | |
14:15 - 14:30 | Coffee Break |
14:30 - 15:30 | Plenary Session at Fennia II Room |
Shuo Chen | LMU Munich, MCML |
Ruotong Liao | LMU Munich, MCML |
Yunpu Ma | LMU Munich, MCML |
Antonia Wüst | TU Darmstadt |
Wolfgang Stammer | TU Darmstadt |
Kristian Kersting | TU Darmstadt |
Volker Tresp | LMU Munich, MCML |