Hybrid Learning and Reasoning

Seminar an der Universität des Saarlandes, Fachrichtung Informatik,  LSF 133348 

Seminar schedule:

Date

Presentation

Location

25.10.2021

4 - 6pm

Welcome

Organisation, Introduction to Topics, and Assignments

virtual

29.10.2021

cancelled

 

5.11.2021

cancelled

 

12.11.2021

cancelled

 

19.11.2021

cancelled

 

26.11.2021

2:15 - 4pm

T. Thanapalasingam, L. van Berkel, P. Bloem & P. Growth (2021). Relational Graph Convolutional Networks: A Closer Look.

Presenter: Denis Kokorev

virtual

3.12.2021

2:15 - 4pm

G. Marra, M. Diligenti, F. Giannini, M. Gori & M. Maggini (2020): Relational Neural Machines.

Presenter: Xiao Yu

virtual

10.12.2021

2:15 - 4pm

L. D. Liello, P. Ardino, J. Gobbi, P. Morettin, S. Teso & A. Passerini (2020): Efficient Generation of Structured Objects with Constrained Adversarial Networks.

Presenter: Aleena Siji

virtual

17.12.2021

4:15 - 6pm

L. Illanes, RT. Yan, SA. Icarte, SA. McIlraith (2020): Symbolic Plans as High-Level Instructions for Reinforcement Learning.

Presenter: Pankhuri Vanjani

virtual

7.1.2022

2:15 - 4pm

W. Zhang, B. Paudel, L. Wang, J. Chen, H. Zhu, W. Zhang, A. Bernstein, and H. Chen (2019): Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning.

Presenter: Fabian Krause

virtual

14.1.2022

2:15 - 4pm

P. Almasan, J. Suárez-Varela, A. Badia-Sampera, K. Rusek, P. Barlet-Ros & A. Cabellos-Aparicio (2020): Deep Reinforcement Learning Meets Graph Neural Networks: Exploring a Routing Optimization Use Case.

Presenter: N.Pablo Valdunciel Sánchez

virtual

21.1.2022

cancelled

virtual

28.1.2022

2:15 - 4pm

P. Hart & A. Knoll (2020): Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments.

Presenter: Ayushi Churiwala

virtual

4.2.2022

2:15 - 4pm

F. Pusse & M. Klusch (2019): Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars.

Presenter: Aashita Balan Elaychanadom

virtual

18.2.2022

2:15 - 4pm

Closing

Summary, Discussion, Feedback

virtual

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 above.

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.