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TUDataset: A collection of benchmark datasets for learning with graphs

Jul 16, 2020
Christopher Morris, Nils M. Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, Marion Neumann

* ICML 2020 workshop "Graph Representation Learning and Beyond" 

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Fitted Q-Learning for Relational Domains

Jun 10, 2020
Srijita Das, Sriraam Natarajan, Kaushik Roy, Ronald Parr, Kristian Kersting

* 10 pages, 12 figures 

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Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

Apr 13, 2020
Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani


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CryptoSPN: Privacy-preserving Sum-Product Network Inference

Feb 03, 2020
Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting

* Accepted for publication at ECAI'20. Please cite the conference version of this paper 

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Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations

Jan 31, 2020
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting

* arXiv admin note: text overlap with arXiv:1805.08578 

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BERT has a Moral Compass: Improvements of ethical and moral values of machines

Dec 11, 2019
Patrick Schramowski, Cigdem Turan, Sophie Jentzsch, Constantin Rothkopf, Kristian Kersting


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Structured Object-Aware Physics Prediction for Video Modeling and Planning

Oct 06, 2019
Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting


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Neural Networks for Relational Data

Aug 28, 2019
Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan

* 15 pages, 2 figures. To appear in the proceedings of 29th International Conference on Inductive Logic Programming 

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Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data

Aug 22, 2019
Johannes Czech, Moritz Willig, Alena Beyer, Kristian Kersting, Johannes F√ľrnkranz

* 35 pages, 19 figures, 14 tables 

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Random Sum-Product Forests with Residual Links

Aug 08, 2019
Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting


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Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks

Jul 15, 2019
Alejandro Molina, Patrick Schramowski, Kristian Kersting

* 12 Pages, 6 Figures 

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Declarative Learning-Based Programming as an Interface to AI Systems

Jun 18, 2019
Parisa Kordjamshidi, Dan Roth, Kristian Kersting


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Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning

May 31, 2019
Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni


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

May 21, 2019
Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting

* 13 pages, 6 figures 

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Was ist eine Professur fuer Kuenstliche Intelligenz?

Feb 17, 2019
Kristian Kersting, Jan Peters, Constantin Rothkopf

* in German 

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SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

Jan 11, 2019
Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting

* 4 pages, 1 figure, code 

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Model-based Approximate Query Processing

Nov 15, 2018
Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting


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Automatic Bayesian Density Analysis

Oct 03, 2018
Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera


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Structure Learning for Relational Logistic Regression: An Ensemble Approach

Aug 06, 2018
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan


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Neural Conditional Gradients

Jul 30, 2018
Patrick Schramowski, Christian Bauckhage, Kristian Kersting

* arXiv admin note: text overlap with arXiv:1610.05120 by other authors 

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Probabilistic Deep Learning using Random Sum-Product Networks

Jun 22, 2018
Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani


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"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users

May 22, 2018
Stefano Teso, Kristian Kersting

* Submitted to NIPS 2018 

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Lifted Filtering via Exchangeable Decomposition

May 07, 2018
Stefan L√ľdtke, Max Schr√∂der, Sebastian Bader, Kristian Kersting, Thomas Kirste


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Sum-Product Networks for Hybrid Domains

Nov 06, 2017
Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting

* 16 Pages, 5 Figures 

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Coresets for Dependency Networks

Oct 16, 2017
Alejandro Molina, Alexander Munteanu, Kristian Kersting

* 16 pages, 3 figures 

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Global Weisfeiler-Lehman Graph Kernels

Sep 22, 2017
Christopher Morris, Kristian Kersting, Petra Mutzel

* 10 pages, accepted at IEEE ICDM 2017 ("Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs") 

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A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels

Mar 10, 2017
Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel


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