Schedule

Seminar schedule:

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

Date	Presentation	Location
29.10.2019 4-6pm	Welcome Organisation, Introduction to Topics and Assignment	DFKI, New Bldg +2.30, R "Turing 1”
5.11.2019	cancelled
12.11.2019	cancelled
19.11.2019	cancelled
26.11.2019	cancelled
3.12.2019 4-6pm	Learning with symbolic semantic prior J. Xu, Z. Zhang, T. Friedman, Y. Liang & G. Van den Broeck (2018): A Semantic Loss Function for Deep Learning with Symbolic Knowledge. Proceedings of 35^th International Conference on Machine Learning (ICML) Presenter: Anan Schütt	DFKI, New Bldg +2.30, R "Turing 1”
10.12.2019 4-6pm	Explainable learning with symbolic semantic prior Md. Kamruzzaman Sarker et al. (2017): Explaining Trained Neural Networks with Semantic Web Technologies: First Steps. Proceedings of 12^th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy); CEUR Vol. 2003, I. Tiddi, M. d’Aquin, & E. Motta (2015): Data Patterns Explained with Linked Data. Proceedings Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD). Springer. See also: http://swsa.semanticweb.org/sites/default/files/tiddi-thesis_0.pdf [C 3] Presenter: Raksha Shenoy	DFKI, New Bldg +2.30, R "Turing 1”
17.12.2019 4-6pm	Explainable learning through inspection by reasoning J. Chen, F. Lécué, J. Pan, I. Horrocks, & H. Chen (2018): Knowledge-based Transfer Learning Explanation. Proceedings of 16^th International Conference on Principles of Knowledge Representation and Reasoning (KR). AAAI Presenter: Kaleem Ullah	DFKI, New Bldg +2.30, R "Turing 1”
7.1.2020 4-6pm	Learning intermediate symbolic abstraction for learning A.D. Garcez, A.R.R. Dutra & E. Alonso (2018): Towards Symbolic Reinforcement Learning with Common Sense. In: CoRR abs/1804.08597 M. Garnelo, K. Arulkumaran, & M. Shanahan (2016): Towards Deep Symbolic Reinforcement Learning. In: CoRR abs/1609.05518. Presenter: Jens Ulrich Kreber	DFKI, New Bldg +2.30, R "Turing 1”
14.1.2020 4-6pm	Meta-reasoning for learning to reason (I) M. Ebrahimi, M.K. Sarker, F. Bianchi, N. Xie, D. Doran & P. Hitzler (2018): Reasoning over RDF Knowledge Bases using Deep Learning. arXiv preprint arXiv:1811.04132 Presenter: Hacan Hechehouche	DFKI, New Bldg +2.30, R "Turing 1”
21.1.2020 4-6pm	Meta-reasoning for learning to reason (II) Z. Du, C. Zhou, M. Ding, H. Yang, & J. Tang, J. (2019): Cognitive Knowledge Graph Reasoning for One-Shot Relational Learning. arXiv preprint arXiv:1906.05489 Presenter: Shivam Sharma	DFKI, New Bldg +2.30, R "Turing 1”
28.1.2020 4-6pm	Meta-reasoning for learning to reason (III) P. Hohenecker & T. Lukasiewicz (2017): Deep Learning for Ontology Reasoning. arXiv preprint arXiv:1705.10342 Presenter: Martin Joachim Ludwig Gaßner	DFKI, New Bldg +2.30, R "Turing 1”
4.2.2020 4-6pm	Closing Summary, Discussion, Feedback	DFKI, New Bldg +2.30, R "Turing 1”