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
09.11.2026
Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models
A paper co-authored by MCML PI Valentin Hofmann on accent bias in audio language models won an Outstanding Paper Award at EMNLP 2026.
06.11.2026
Best Thesis Award for Sohir Maskey
Former MCML Junior Member Sohir Maskey received the Best Thesis Award of the DFG Priority Programme 2298 for his PhD on graph neural networks.
