Welcome to the ELLIS Workshop on

Semantic, Symbolic and Interpretable Machine Learning

June 28, 2024
Scandic Grand Marina Congress Centre - Helsinki - Finnland
Attendance by invitation only.

Theme

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.

Location

The workshop is hosted at the Scandic Grand Marina Congress Centrein downtown Helsinki, overlooking Helsinki harbour.

Programme

Friday June 28

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

*The workshop runs concurrently with the ELISE Wrap Up Conference & ELLIS Community Event. Various events are also scheduled for Thursday, June 27th. Please feel free to participate if your schedule permits. You can find the agenda here.

Organizing Commitee

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