Schedule

Hybrid Learning and Reasoning

Seminar an der Universität des Saarlandes, Fachrichtung Informatik, LSF 126868

Seminar schedule:

The schedule is preliminary; please check it frequently for changes!

Due to the COVID19 pandemic, the seminar takes place virtually in the Web via Zoom unless otherwise stated in the schedule below. Each seminar session has an individual Zoom room address which will be announced on time per E-Mail to registered participants. Other interested but not registered parties who like to attend the seminar will be informed about dial-in info on request.

Date	Presentation	Location
5.11.2020 4:15 - 6pm	Welcome Organisation, Introduction to Topics, and Assignments	virtual
12.11.2020 4:15-6pm	cancelled
19.11.2020 4:15-6pm	cancelled
26.11.2020 4:15-6pm	cancelled
3.12.2020 4:15-6pm	Learning with symbolic semantic prior (I) H. Wang, D. Dou, and D. Lowd (2016): Ontology-Based Deep Restricted Boltzmann Machine. N. Phan, D. Dou, H. Wang, D. Kil, B. Piniewski (2015): Ontology-Based Deep Learning for Human Behavior Prediction in Health Social Networks. Presenter: Yugeng Liu	virtual
10.12.2020 4:15-6pm	Learning with symbolic semantic prior (II) I. Donadello, L. Serafini & A.A.A. d’Avila Garcez (2017): Logic Tensor Networks for Semantic Image Interpretation. Presenter: Nils Philipp Walter	virtual
17.12.2020 4:15-6pm	Learning with intermediate and derived semantic prior (I) N. Bougie, L.K. Cheng, R. Ichise (2018): Combining Deep Reinforcement Learning with Prior Knowledge and Reasoning. Presenter: Supreeth Mysore Venkatesh	virtual
7.1.2021 4:15-6pm		virtual
14.1.2021 4:15-6pm	Learning with intermediate and derived semantic prior (III) G. De Giacomo, L. Iocchi, M. Favorito & F. Patrizi (2019): Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf Restraining Specifications. Presenter: Rui Xu	virtual
21.1.2021 4:15-6pm	Learning intermediate symbolic abstraction for reasoning F. Pusse & M. Klusch (2019): Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars. Presenter: Aditya Bikram Biswas	virtual
28.1.2021 4:15-6pm	Learning to logically reason T. Rocktäschel & S. Riedel (2017): End-to-end Differentiable Proving. Presenter: Mohammed Raihan Hussain	virtual
4.2.2021 4:15-6pm	Closing Summary, Discussion, Feedback	virtual