| Statistical relational artificial intelligence: Logic, probability, and computation LD Raedt, K Kersting, S Natarajan, D Poole Synthesis lectures on artificial intelligence and machine learning 10 (2), 1-189, 2016 | 380 | 2016 |
| Dynamic preferences in multi-criteria reinforcement learning S Natarajan, P Tadepalli Proceedings of the 22nd international conference on Machine learning, 601-608, 2005 | 205 | 2005 |
| Counting belief propagation K Kersting, B Ahmadi, S Natarajan arXiv preprint arXiv:1205.2637, 2012 | 197 | 2012 |
| Gradient-based boosting for statistical relational learning: The relational dependency network case S Natarajan, T Khot, K Kersting, B Gutmann, J Shavlik Machine Learning 86, 25-56, 2012 | 191 | 2012 |
| Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach S Yang, M Korayem, K AlJadda, T Grainger, S Natarajan Knowledge-Based Systems 136, 37-45, 2017 | 160 | 2017 |
| Mixed sum-product networks: A deep architecture for hybrid domains A Molina, A Vergari, N Di Mauro, S Natarajan, F Esposito, K Kersting Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 133 | 2018 |
| A decision-theoretic model of assistance A Fern, S Natarajan, K Judah, P Tadepalli Journal of Artificial Intelligence Research 50, 71-104, 2014 | 132 | 2014 |
| Learning markov logic networks via functional gradient boosting T Khot, S Natarajan, K Kersting, J Shavlik 2011 IEEE 11th international conference on data mining, 320-329, 2011 | 132 | 2011 |
| Transfer in variable-reward hierarchical reinforcement learning N Mehta, S Natarajan, P Tadepalli, A Fern Machine Learning 73, 289-312, 2008 | 132 | 2008 |
| Multi-agent inverse reinforcement learning S Natarajan, G Kunapuli, K Judah, P Tadepalli, K Kersting, J Shavlik 2010 ninth international conference on machine learning and applications …, 2010 | 124 | 2010 |
| Machine learning for personalized medicine: predicting primary myocardial infarction from electronic health records JC Weiss, S Natarajan, PL Peissig, CA McCarty, D Page Ai Magazine 33 (4), 33-33, 2012 | 113 | 2012 |
| Learning first-order probabilistic models with combining rules S Natarajan, P Tadepalli, E Altendorf, TG Dietterich, A Fern, A Restificar Proceedings of the 22nd international conference on Machine learning, 609-616, 2005 | 107 | 2005 |
| Exploiting symmetries for scaling loopy belief propagation and relational training B Ahmadi, K Kersting, M Mladenov, S Natarajan Machine learning 92, 91-132, 2013 | 97 | 2013 |
| Speeding up inference in Markov logic networks by preprocessing to reduce the size of the resulting grounded network J Shavlik, S Natarajan Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 93 | 2009 |
| Imitation learning in relational domains: A functional-gradient boosting approach S Natarajan, S Joshi, P Tadepalli, K Kersting, J Shavlik IJCAI proceedings-International joint conference on artificial intelligence …, 2011 | 76 | 2011 |
| Relational logistic regression SM Kazemi, D Buchman, K Kersting, S Natarajan, D Poole Fourteenth International Conference on the Principles of Knowledge …, 2014 | 68 | 2014 |
| Logical hierarchical hidden markov models for modeling user activities S Natarajan, HH Bui, P Tadepalli, K Kersting, WK Wong Inductive Logic Programming: 18th International Conference, ILP 2008 Prague …, 2008 | 57 | 2008 |
| Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases T Khot, S Natarajan, K Kersting, J Shavlik Machine Learning 100, 75-100, 2015 | 55 | 2015 |
| Reprel: Integrating relational planning and reinforcement learning for effective abstraction H Kokel, A Manoharan, S Natarajan, B Ravindran, P Tadepalli Proceedings of the International Conference on Automated Planning and …, 2021 | 48 | 2021 |
| Poisson sum-product networks: A deep architecture for tractable multivariate poisson distributions A Molina, S Natarajan, K Kersting Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 48 | 2017 |
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
