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Publications

2016

  • Mathias Niepert. Discriminative Gaifman Models. In Proceedings of the 30th Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, 2016.
  • Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov. Learning Convolutional Neural Networks for Graphs. In Proceedings of the 33rd International Conference on Machine Learning (ICML), New York City, 2016. [slides]

2015

  • Mathias Niepert and Pedro Domingos. Learning and Inference in Tractable Probabilistic Knowledge Bases. Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence. (UAI), Amsterdam, The Netherlands, 2015
  • Guy Van den Broeck and Mathias Niepert. Lifted Probabilistic Inference for Asymmetric Graphical Models. Proceedings of the 29th Conference on Artificial Intelligence. (oral presentation) (AAAI), Austin, Texas, 2015.
  • Jakob Huber, Mathias Niepert, Jan Noessner, Joerg Schoenfisch, Christian Meilicke, Heiner Stuckenschmidt. An Infrastructure for Probabilistic Reasoning with Web Ontologies. Semantic Web Journal, 2015.

2014

  • Mathias Niepert, Pedro Domingos, and Jeff Bilmes. Generalized Conditional Independence and Decomposition Cognizant Curvature: Implications for Function Optimization. NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning (DISCML) 2014. [paper]
  • Mathias Niepert and Sameer Singh. Out of Many, One: Unifying Web-Extracted Knowledge Bases. NIPS Workshop on Automated Knowledge Base Construction (AKBC) 2014.
  • Mathias Niepert and Pedro Domingos. Exchangeable Variable Models. In Proceedings of the 31st International Conference on Machine Learning (ICML), Beijing, China, 2014. (also accepted for presentation at the ICML Learning Tractable Probabilsitic Models Workshop) [paper][slides][code and data] [video]
  • Mathias Niepert and Guy Van den Broeck. Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference. In Proceedings of the 28th Conference on Artificial Intelligence (AAAI), Quebec City, Canada, 2014. (one of 5 papers nominated for the AAAI outstanding paper award); also accepted for presentation at the SIGMOD/PODS Big Uncertain Data Workshop) [paper]
  • Mathias Niepert and Pedro Domingos. Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond. In Proceedings of the 4th Workshop on Statistical Relational AI (StaRAI), Quebec City, Canada, 2014. [paper]
  • Jakob Huber, Timo Sztyler, Jan Noessner, Jaimie Murdock, Colin Allen, and Mathias Niepert. LODE: Linking Digital Humanities Content to the Web of Data. In Proceedings of the 14th ACM/IEEE Joint Conference on Digital Libraries (JCDL), London, UK, 2014. [paper]
  • Marc Gyssens, Mathias Niepert, and Dirk Van Gucht. On the completeness of the semigraphoid axioms for deriving arbitrary from saturated conditional independence statements. Information Processing Letters, 2014. [article]
  • Jan Noessner, Heiner Stuckenschmidt, Christian Meilicke, and Mathias Niepert. Completeness and Optimality in Ontology Alignment Debugging. Proceedings of the 9th International Workshop on Ontology Matching, Trento, Italy, 2014. [paper]

2013

  • Mathias Niepert. Symmetry-Aware Marginal Density Estimation. In Proceedings of the 27th Conference on Artificial Intelligence (AAAI), Bellevue, Washington, USA, 2013. (also accepted for presentation at the Statistical Relational AI workshop) [paper][code]
  • Mathias Niepert, Bassem Sayrafi, Marc Gyssens, and Dirk Van Gucht. The Conditional Independence Implication Problem: A Lattice-Theoretic Approach. Artificial Intelligence 202:29-51, 2013. [article]
  • Mathias Niepert. Statistical Relational Data Integration for Information Extraction. Reasoning Web, Springer, Heidelberg, 2013.
  • Daniel Fleischhacker, Christian Meilicke, Johanna Voelker, and Mathias Niepert. Computing Incoherence Explanations for Learned Ontologies. In Proceedings of the 7th International Conference on Web Reasoning and Rule Systems, Mannheim, Germany, 2013.
  • Arnab Dutta, Mathias Niepert, Christian Meilicke, and Simone Ponzetto. Integrating Open and Closed Information Extraction - Challanges and First Steps. In Proceedings of the NLP & DBpedia workshop co-located with ISWC, Sydney, Australia, 2013.
  • Jan Noessner, Mathias Niepert, and Heiner Stuckenschmidt. RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models. In Proceedings of the 27th Conference on Artificial Intelligence (AAAI), Bellevue, Washington, USA, 2013. (also accepted for presentation at the Statistical Relational AI workshop) [paper][code]

2012

  • Mathias Niepert. Lifted Probabilistic Inference: An MCMC Perspective. In Proceedings of the 2nd International Workshop on Statistical Relational AI (StaR AI), Catalina Island, USA, 2012. [paper][code]
  • Mathias Niepert. Markov Chains on Orbits of Permutation Groups. In Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, USA, 2012. [paper][code]
  • Mathias Niepert, Christian Meilicke, and Heiner Stuckenschmidt. Towards Distributed MCMC Inference in Probabilistic Knowledge Bases. NAACL-HLT Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX), Montreal, Canada, 2012. [paper]
  • Henrik Leopold, Mathias Niepert, Matthias Weidlich, Jan Mendling, Remco Dijkman, and Heiner Stuckenschmidt. Probabilistic Optimization of Semantic Process Model Matching. In Proceedings of the 10th International Conference on Business Process Management (BPM), Tallinn, Estonia, 2012.
  • Rim Helaoui, Daniele Riboni, Mathias Niepert, Claudio Bettini and Heiner Stuckenschmidt. Towards Activity Recognition Using Probabilistic Description Logics. In Proceedings of the AAAI workshops, Toronto, Canada, 2012.

2011

  • Mathias Niepert. Reasoning under Uncertainty with Log-Linear Description Logics. In Proceedings of the 7th International Workshop on Uncertain Reasoning for the Semantic Web (URSW) at ISWC, Bonn, Germany, 2011. [paper][code]
  • Caecilia Zirn, Mathias Niepert, Heiner Stuckenschmidt, and Michael Strube. Fine-Grained Sentiment Analysis with Structural Features. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), Chiang Mai, Thailand, 2011. (best paper award) [paper]
  • Mathias Niepert, Jan Noessner, and Heiner Stuckenschmidt. Log-Linear Description Logics. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 2011. (selected for oral presentation) [paper][code]
  • Jan Noessner, Mathias Niepert and Heiner Stuckenschmidt. Coherent Top-k Ontology Alignment for OWL EL. In Proceedings of the the 5th International Conference on Scalable Uncertainty Management (SUM), Dayton, Ohio, Springer-Verlag, 2011. [paper]
  • Rim Helaoui, Mathias Niepert and Heiner Stuckenschmidt. Recognizing Interleaved and Concurrent Activities Using Qualitative and Quantitative Temporal Relationships. Pervasive and Mobile Computing, Volume 7, Issue 6, Elsevier, 2011. [paper]
  • Jan Noessner and Mathias Niepert. ELOG: A Probabilistic Reasoner for OWL EL. In Proceedings of the the 5th International Conference on Web Reasoning and Rule Systems (RR), Galway, Ireland, Springer-Verlag, 2011. [paper]
  • Mathias Niepert, Jan Noessner, Christian Meilicke, and Heiner Stuckenschmidt. Probabilistic-Logical Web Data Integration. In Reasoning Web: 7th International Summer School 2011, Galway, Ireland, Springer-Verlag, 2011. [paper]
  • Johanna Voelker and Mathias Niepert. Statistical Schema Induction. In Proceedings of the 8th Extended Semantic Web Conference (ESWC), Heraklion, Greece, Springer-Verlag, 2011. [paper]
  • Rim Helaoui, Mathias Niepert, and Heiner Stuckenschmidt. Recognizing Interleaved and Concurrent Activities: A Statistical Relational Approach. In Proceedings of the 9th IEEE International Conference on Pervasive Computing and Communications (PerCom), Seattle, Washington, 2011. [paper]

2010

  • Mathias Niepert. A Delayed Column Generation Strategy for Exact k-Bounded MAP Inference in Markov Logic Networks. In Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, California, AUAI Press, 2010. [paper]
  • Mathias Niepert, Christian Meilicke, and Heiner Stuckenschmidt. A Probabilistic-Logical Framework for Ontology Matching. In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI), Atlanta, Georgia, AAAI Press, 2010. (selected as exceptional top 4% paper) [paper][poster]
  • Jan Noessner and Mathias Niepert. CODI: Combinatorial Optimization for Data Integration. In Proceedings of the 5th International Workshop on Ontology Matching (OM), Shanghai, China, 2010. [paper]
  • Kai Eckert, Mathias Niepert, Christof Niemann, Cameron Buckner, Colin Allen, and Heiner Stuckenschmidt. Crowdsourcing the Assembly of Concept Hierarchies. In Proceedings of the 10th ACM/IEEE Joint Conference on Digital Libraries (JCDL), Gold Coast, Australia, ACM Press, 2010. [paper]
  • Nikolas Schmitt, Mathias Niepert, and Heiner Stuckenschmidt. BRAMBLE: A Web-based Framework for Interactive RDF-Graph Visualisation. International Semantic Web Conference (ISWC) 2010. (demo paper)
  • Mathias Niepert. Towards Collaboratively Learning and Populating Ontologies for the Social-Semantic Web. SIGWEB Newsletter, Spring 2010, ACM Press.
  • Jan Noessner, Mathias Niepert, Christian Meilicke, and Heiner Stuckenschmidt. Leveraging Terminological Structure for Object Reconciliation. In Proceedings of the 7th Extended Semantic Web Conference (ESWC), Heraklion, Greece, Springer-Verlag, 2010. (best paper award) [paper]
  • Mathias Niepert, Dirk Van Gucht, and Marc Gyssens. Logical and Algorithmic Properties of Stable Conditional Independence. International Journal of Approximate Reasoning, Volume 51, Issue 5, pages 531-543, 2010. [preprint]
  • Cameron Buckner, Mathias Niepert, and Colin Allen. From Encyclopedia to Ontology: Toward A Dynamic Representation of the Discipline of Philosophy. Synthese, Springer-Verlag, 2010. [article]
  • Robert Meusel, Mathias Niepert, Kai Eckert, and Heiner Stuckenschmidt. Thesaurus Extension Using Web Search Engines. In Proceedings of the 12th International Conference on Asia-Pacific Digital Libraries (ICADL), Gold Coast, Australia, Springer-Verlag, 2010. [paper]

2009 and earlier

  • Mathias Niepert. Logical Inference Algorithms and Matrix Representations for Probabilistic Conditional Independence. In Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI), Montreal, Canada, pages 428-435, AUAI Press, 2009. [paper]
  • Mathias Niepert, Cameron Buckner, and Colin Allen. Working the Crowd: Design Principles and Early Lessons from the Social-Semantic Web. In Proceedings of the Workshop on Web 3.0: Merging Semantic Web and Social Web - (SW)^2  at ACM Hypertext, Turin, Italy, 2009. [paper]
  • Mathias Niepert, Dirk Van Gucht, and Marc Gyssens. On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach. In Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI), Helsinki, Finland, pages 435-443, AUAI Press, 2008. (best student paper runner-up award) [paper]
  • Colin Allen, Cameron Buckner, and Mathias Niepert. The World is Not Flat: Expertise and InPhO. Selected papers from the Ninth Annual WebWise Conference. First Monday, Volume 13, Number 8, 2008. [article]
  • Mathias Niepert, Cameron Buckner, and Colin Allen. A Dynamic Ontology for a Dynamic Reference Work. In Proceedings of the 7th ACM/IEEE Joint Conference on Digital Libraries (JCDL), Vancouver, British Columbia, pages 288-297, ACM Press, 2007. [paper]