Topic#

Topic

Opponents

1

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

Hussain, Biswas

2

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

Hussain, Liu

3

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

Xu, Biswas

5

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

Venkatesh, Walter

6

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

Walter, Venkatesh

7

Learning to logically reason

T. Rocktäschel & S. Riedel (2017): End-to-end Differentiable Proving.

Presenter: Mohammed Raihan Hussain

Xu, Liu