Publikationen

C. Gloerfeld; S. E. Wrede; C. de Witt; Xia Wang

Recommender – Potentials and Limitations for Self-Study in Higher Education from an Educational Science Perspective

In: International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI), Vol. 2, No. 2, Pages 34-45, iJAI, 9/2020.

Badarinath Katti; Christiane Plociennik; Martin Ruskowski; Michael Schweitzer

Bidirectional Transformation of MES Source Code and Ontologies

In: Procedia Manufacturing, Vol. 42, Pages 197-204, Elsevier, 2020.

Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

CryptoSPN: Privacy-Preserving Sum-Product Network Inference

In: Giuseppe De Giacomo; Alejandro Catalá; Bistra Dilkina; Michela Milano; Senén Barro; Alberto Bugarín; Jérôme Lang (Hrsg.). 24th European Conference on Artificial Intelligence. European Conference on Artificial Intelligence (ECAI-2020), August 29 - September 8, Santiago de Compostela, Spain, Pages 1946-1953, Frontiers in Artificial Intelligence and Applications, Vol. 325, IOS Press, 2020.

Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

CryptoSPN: Expanding PPML beyond Neural Networks

In: Benyu Zhang; Raluca Ada Popa; Matei Zaharia; Guofei Gu; Shouling Ji (Hrsg.). PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice. Workshop on Privacy-Preserving Machine Learning in Practice (PPMLP-20), located at CS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, November 9, Virtual Event, Pages 9-14, ISBN 978-1-4503-8088-1, ACM, 2020.

Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

Making deep neural networks right for the right scientific reasons by interacting with their explanations

In: Nature Machine Intelligence, Vol. 2, No. 8, Pages 476-486, Springer, 2020.

Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting

The Moral Choice Machine

In: Frontiers in Artificial Intelligence, Vol. 3, Pages 0-10, Frontiers, 2020.

Johannes Czech; Moritz Willig; Alena Beyer; Kristian Kersting; Johannes Fürnkranz

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

In: Frontiers in Artificial Intelligence, Vol. 3, Pages 0-10, Frontiers, 2020.

Fabrizio Ventola; Karl Stelzner; Alejandro Molina; Kristian Kersting

Residual Sum-Product Networks

In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 545-556, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

Xiaoting Shao; Alejandro Molina; Antonio Vergari; Karl Stelzner; Robert Peharz; Thomas Liebig; Kristian Kersting

Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures

In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 401-412, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

Tjitze Rienstra; Matthias Thimm; Kristian Kersting; Xiaoting Shao

Independence and D-separation in Abstract Argumentation

In: Diego Calvanese; Esra Erdem; Michael Thielscher (Hrsg.). Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2020), September 12-18, Rhodes, Greece, Pages 713-722, IJCAI Organization, 2020.