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
13.11.2025
Explaining AI Decisions: Shapley Values Enable Smart Exosuits
AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.
06.11.2025
Industry Pitch Talks Recap
Industry Pitchtalks on 4 Nov 2025 connected MCML and SWM to explore AI applications in energy and utilities.
06.11.2025
AI, Ethics and Society Workshop
The “AI, Ethics and Society” workshop explored how AI shapes memory, ethics, and social impact.