25.02.2024
ELLIS Workshop: Semantic, Symbolic and Interpretable Machine Learning
Organized by Our PI 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
09.10.2025
Rethinking AI in Public Institutions - Balancing Prediction and Capacity
Unai Fischer Abaigar explores how AI can make public decisions fairer, smarter, and more effective.
08.10.2025
MCML-LAMARR Workshop at University of Bonn
MCML and Lamarr researchers met in Bonn to exchange ideas on NLP, LLM finetuning, and AI ethics.
08.10.2025
Three MCML Members Win Best Paper Award at AutoML 2025
MCML PI Matthias Feurer and Director Bernd Bischl’s paper on overtuning won Best Paper at AutoML 2025, offering insights for robust HPO.
29.09.2025
Machine Learning for Climate Action - With Researcher Kerstin Forster
Kerstin Forster researches how AI can cut emissions, boost renewable energy, and drive corporate sustainability.
