Mathias Niepert

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Citations	7722	5807
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i10-index	74	62

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Colin AllenUniversity of California, Santa BarbaraVerified email at ucsb.edu
Guy Van den BroeckProfessor and Samueli Fellow, UCLAVerified email at cs.ucla.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Christopher MorrisRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Pasquale MinerviniUniversity of Edinburgh, Miniml.AI, ELLIS ScholarVerified email at ed.ac.uk
Pedro DomingosProfessor of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Nhat HoProfessor at University of Texas, AustinVerified email at utexas.edu
Viktor ZaverkinNEC Laboratories EuropeVerified email at neclab.eu
Goran GlavašProfessor of Computer Science (Chair for Natural Language Processing), University of WürzburgVerified email at uni-wuerzburg.de
Federico ErricaSenior Research Scientist, NECVerified email at neclab.eu
David HolzmüllerPostdoc, INRIAVerified email at inria.fr
Anji LiuPh.D. Student of Computer Science, UCLAVerified email at cs.ucla.edu
Johannes KästnerUniversity of StuttgartVerified email at theochem.uni-stuttgart.de
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
James ZouStanford UniversityVerified email at stanford.edu
Jeffrey A. BilmesProfessor of Electrical & Computer Engineering & Computer Science, University of Washington SeattleVerified email at uw.edu
Mikhail GalkinGoogleVerified email at google.com
Roger WattenhoferETH ZurichVerified email at ethz.ch
Sameer SinghProfessor, UC Irvine | CTO, Spiffy AIVerified email at uci.edu
Joshua B. TenenbaumMITVerified email at mit.edu

Mathias Niepert

University of Stuttgart & NEC Labs Europe

Verified email at ki.uni-stuttgart.de - Homepage

Machine learning


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Learning convolutional neural networks for graphs M Niepert, M Ahmed, K Kutzkov International conference on machine learning, 2014-2023, 2016	2716	2016
Learning sequence encoders for temporal knowledge graph completion A García-Durán, S Dumančić, M Niepert arXiv preprint arXiv:1809.03202, 2018	532	2018
Learning discrete structures for graph neural networks L Franceschi, M Niepert, M Pontil, X He International conference on machine learning, 1972-1982, 2019	475	2019
Statistical schema induction J Völker, M Niepert The Semantic Web: Research and Applications, 124-138, 2011	263	2011
MMKG: multi-modal knowledge graphs Y Liu, H Li, A Garcia-Duran, M Niepert, D Onoro-Rubio, DS Rosenblum The Semantic Web: 16th International Conference, ESWC 2019, Portorož …, 2019	235	2019
Learning graph representations with embedding propagation A Garcia Duran, M Niepert Advances in neural information processing systems 30, 2017	197	2017
Fine-Grained Sentiment Analysis with Structural Features C Zirn, M Niepert, H Stuckenschmidt, M Strube International Joint Conference on Natural Language Processing, 2011	189	2011
Pdebench: An extensive benchmark for scientific machine learning M Takamoto, T Praditia, R Leiteritz, D MacKinlay, F Alesiani, D Pflüger, ... Advances in Neural Information Processing Systems 35, 1596-1611, 2022	188	2022
Kblrn: End-to-end learning of knowledge base representations with latent, relational, and numerical features A García-Durán, M Niepert arXiv preprint arXiv:1709.04676, 2017	129	2017
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models J Noessner, M Niepert, H Stuckenschmidt Conference on Artificial Intelligence (AAAI), 2013	124	2013
A probabilistic-logical framework for ontology matching M Niepert, C Meilicke, H Stuckenschmidt Proceedings of the 24th AAAI Conference on Artificial Intelligence, 2010	121	2010
Leveraging terminological structure for object reconciliation J Noessner, M Niepert, C Meilicke, H Stuckenschmidt The Semantic Web: Research and Applications, 334-348, 2010	112	2010
Recognizing interleaved and concurrent activities: A statistical-relational approach R Helaoui, M Niepert, H Stuckenschmidt Pervasive Computing and Communications (PerCom), 2011 IEEE International …, 2011	111	2011
Probabilistic Optimization of Semantic Process Model Matching H Leopold, M Niepert, M Weidlich, J Mendling, R Dijkman, ...	107	2012
Implicit MLE: backpropagating through discrete exponential family distributions M Niepert, P Minervini, L Franceschi Advances in Neural Information Processing Systems 34, 14567-14579, 2021	96	2021
Tractability through exchangeability: A new perspective on efficient probabilistic inference M Niepert, G Van den Broeck Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	94	2014
Recsys-dan: Discriminative adversarial networks for cross-domain recommender systems C Wang, M Niepert, H Li IEEE transactions on neural networks and learning systems, 2020	87	2020
Log-linear description logics M Niepert, J Noessner, H Stuckenschmidt Proceedings of IJCAI, 2011	87	2011
Markov Chains on Orbits of Permutation Groups M Niepert Conference on Uncertainty in Artificial Intelligence, 2012	73	2012
A dynamic ontology for a dynamic reference work M Niepert, C Buckner, C Allen Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries …, 2007	68*	2007

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