25.02.2024
ELLIS Workshop: Semantic, Symbolic and Interpretable Machine Learning
Organized by Volker Tresp
MCML PI Volker Tresp organized an ELLIS Workshop together with Kristian Kersting (TU Darmstadt) & Paolo Frasconi (Università di Firenze).
The workshop concerned machine learning approaches which operate at the human abstraction level, where the world is described by entities, concepts, and their mutual relationships. Among other topics, multi-relational learning, learning with (temporal) knowledge graphs, and the extraction of statistical and logical regularities from data were covered. Methods included embedding approaches, graph neural networks, scene graph analysis, neuro-symbolic programming, and inductive logic programming.
The workshop brought together like-minded researchers who had fruitful interactions.
Related
09.07.2026
MCML Junior Member Bolei Ma Earns Best Paper and SAC Highlight Awards at ACL 2026
Bolei Ma receives a Best Paper Award and an SAC Highlight Award at ACL 2026 for outstanding contributions to NLP research.
08.07.2026
MCML Pitch Talks With SAP
On July 7th, we visited the SAP Labs Munich Campus in Garching for another edition of our series “MCML Pitchtalks with Industry”.
08.07.2026
How Autonomous Systems Learn to Understand Their Environment
The team at the startup SE3 Labs has developed a spatial AI technology that uses images, videos, and map data to create realistic 3D models.
