AI Talks @JMU Winter 22/23
In the 3rd series of AI talks, selected guests and new CAIDAS members present their research with exciting talks on current activities and projects. The talks will take place on tuesdays at 16:15. The talks will be 45 minutes, followed by a 15-minute discussion. The language of presentation is English.
Afterwards there will be the opportunity for a casual get together with drinks and snacks.
The talks will take place in Z6 building in room 0.001.
See our flyer and below for details.
past talks in current series:
- 08 November: Elisabeth André
- 15 November: Heiko Wersing
- 29 November: Carlo D'Eramo
- 13 December: Markus Strohmeier
- 10 January: Bastien Rieck
- 24 January: Christof Weiß
- 07 February: Frank Schweitzer
- 03 March: Ivan Vulić
past series:
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past talks
8 November
Prof. Dr. Elisabeth André

Chair for Human-Centered Artficial Intelligence, University of Augsburg
Topic: Socially-Interactive Artificial Intelligence: Principles, Challenges and Perspectives
15 November
Prof. Dr. Heiko Wersing
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University of Bielefeld and Chief Scientist at Honda Research Institute Europe
Topic: Learning and Interaction for Cooperative Intelligence
29 November
Reinforcement Learning and Computational Decision Making group, CAIDAS / JMU Würzburg
Topic: Lightweight Reinforcement Learning for Autonomous Adaptive Agents
13 December
Prof. Dr. Markus Strohmaier
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Chair for Data-Science in the Economic and Social Sciences, University of Mannheim
Topic: Interpretability of large-scale neural models of text
10 January
Dr. Bastian Rieck
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Institute of AI for Health, Helmholtz Pioneer Campus, Munich
Topic: Towards Topological Machine Learning: An Emerging Research Field
24 January
Computational Humanities group, CAIDAS / JMU Würzburg
Topic: Computational Analysis of Music Audio Recordings: Exploiting Raw Data for the Humanities
7 February
Prof. Dr. Dr. Frank Schweitzer
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Chair of Systems Design, ETH Zürich
Topic: Analysing knowledge graphs
3 March
Dr. Ivan Vulić
