NeSy Program (All times are CEST)
Monday 25
| 12:00 - 13:00: NeSy Session |
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NeSy and Continual Learning
12:00 - 12:20
Hava Seigelmann, University of Massachusetts, Amherst, USA Lifelong Learning: The Cutting Edge of Artificial Intelligence
12:20 - 12:40
Craig Atkinson, University of Otago, New Zealand Achieving Continual Learning with Pseudo-Rehearsal
12:40 - 13:00
Razvan Pascanu, Google DeepMind, London, UK What Should We Expect from a Lifelong Learning System? |
| Zoom Link Chair: Natalia Diaz Rodriguez |
| 16:30 - 17:30: NeSy Tutorial I |
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Deep Deductive Reasoning over Semantic Web Logics Pascal Hitzler, Aaron Eberhart, Kansas State University, USA, Monireh Ebrahimi, lBM Watson San Francisco, USA, Federico Bianchi, Bocconi University, Milan, Italy |
| Zoom Link |
| 16:30 - 17:30: NeSy Tutorial II |
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NeSy and Continual Learning
16:30 - 16:50
Rahaf Aljundi, Toyota Motor Europe The Challenges and Settings for Continual Learning
16:50 - 17:10
Tom Mitchell, CMU, USA Lessons from the Never Ending Language Learner
16:50 - 17:10
Bing Liu, University of Illinois, Chicago, USA Continual Learning for Knowledge Accumulation |
| Zoom Link Chair: Danny Silver, Acadia University, Canada |
| 16:30 - 17:30: NeSy Tutorial III |
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NeSy and Explainable AI Adam White, Artur Garcez, City, University of London, UK |
| Zoom Link |
Tuesday 26
| 12:00 - 13:00 |
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NeSy and the Semantic Web
12:00 - 12:30: Invited Talk
Ian Horrocks Title TBA
12:30 - 12:45: Paper presentation
Mirantha Jayathilaka, Tingting Mu and Uli Sattler Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification
12:45 - 13:00: Discussion
Dagmar Gromann, Luis Anke, Thierry Declerck |
| Zoom Link Chairs: Ernesto Jimenez-Ruiz, Dagmar Gromann, Luis Anke, Thierry Declerck |
| 16:30 - 17:30: NeSy Session |
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16:30 - 16:45
Conference TrackPaolo Dragone, Stefano Teso and Andrea Passerini Neuro-Symbolic Constraint Programming for Structured Prediction (pdf)
16:45 - 17:00
Conference Track Harald Strömfelt, Luke Dickens, Artur d'Avila Garcez and Alessandra Russo Coherent and Consistent Relational Transfer Learning with Auto-encoders (pdf)
17:00 - 17:30: Invited talk
Guy van den Broeck Reasoning about Learned Models' Behaviour |
| Zoom Link Chair: Luis Lamb |
Wednesday 27
| 12:00 - 13:00: NeSy Session |
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NeSy Industry Track
12:00 - 12:10: Michael Spranger, Sony
12:10 - 12:20: Dan Philps, Rothko: Death by XAI in Finance 12:20 - 12:30: Joe Townsend, Fujitsu: Towards Trusted AI: Rule-based explanations of CNN behaviour 12:30 - 12:40: Alex Jaimes, Dataminr 12:40 - 12:50: Dragos Margineantu, Boeing 12:50 - 13:00: Discussion and Q&A |
| Zoom Link Chair: Artur Garcez |
| 13:00 - 13:30: Break |
| 13:30 - 14:30 |
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NeSy and XAI
13:30 - 13:45
Conference TrackTheodoros Kasioumis, Joe Townsend and Hiroya Inakoshi Elite BackProp: Training Sparse Interpretable Neurons
13:45 - 14:00
Conference TrackAnna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin and Thomas Runkler A New Concept for Explaining Graph Neural Networks
14:00 - 14:30: Invited Talk
Zachary Lipton Integrating Symbolic Structure & Statistical Learning to Adapt to Distribution Shift |
| Zoom Link Chair: Freddy Lecue and Veronika Thost |