www.BerndGutmann.de

See the Lirias repository of the K.U. Leuven if a paper is missing on this list.

Publications

2010

M. Bruynooghe, T. Mantadelis, A. Kimmig, B. Gutmann, J. Vennekens, G. Janssens, and L. De Raedt. ProbLog technology for inference in a probabilistic first order logic. In H. Coelho, European Conference on Artificial Intelligence (ECAI 2010), Lisbon, Portugal, 16-20 August 2010.
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I. Thon, B. Gutmann, I. Thon, and G. Van Den Broeck. Probabilistic Programming for Planning Problems. In K. Kersting, S. Russell, L. Pack Kaelbling, A. Halevy, S. Natarajan and L. Mihalkova, editors, AAAI-10 Workshop on Statistical Relational AI (Star AI 2010), Atlanta, Georgia, USA, 2010.
PDF BibTeX
L. Antanas, B. Gutmann, I. Thon, K. Kersting, and L. De Raedt. Combining Video and Sequential Statistical Relational Techniques to Monitor Card Games. In C. Thurau, K. Driessens, and Olana Missura, editors, ICML 2010 Workshop on Machine Learning and Games, Haifa, Israel, 2010.
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L. Antanas, B. Gutmann, I. Thon, K. Kersting, and L. De Raedt. Combining Video and Sequential Statistical Relational Techniques to Monitor Card Games. In J. Ramon, Celine Vens, Kurt Driessens, and Martijn Van Otterlo and Joaquin Vanschoren, editors, BeneLearn 2010, Leuven, Belgium, 2010.
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B. Gutmann, M. Jaeger, and L. De Raedt. Extending ProbLog with Continuous Distributions. In P. Frasconi and F.A. Lisi, editors, Proceedings of the 20th International Conference on Inductive Logic Programming (ILP-10), Firenze, Italy, 2010. (accepted)
Draft BibTeX
S. Natarajan, T. Khot, K. Kersting, B. Gutmann, and J. Shavlik. Boosting Relational Dependency Networks. In P. Frasconi and F.A. Lisi, editors, Proceedings of the 20th International Conference on Inductive Logic Programming (ILP-10), Firenze, Italy, 2010. (accepted)
Draft BibTeX
B. Gutmann, I. Thon, and L. De Raedt. Learning the parameters of probabilistic logic programs from interpretations. Technical Report CW 584, Department of Computer Science, Katholieke Universiteit Leuven, Belgium, April, 2010.
PDF BibTeX Abstract
B. Gutmann, A. Kimmig, K. Kersting, and L. De Raedt. Parameter Estimation in ProbLog from Annotated Queries. Technical Report CW 583, Department of Computer Science, Katholieke Universiteit Leuven, Belgium, April, 2010.
PDF BibTeX Abstract

2009

I. Thon, B. Gutmann, M. Van Otterlo, N. Landwehr, and L. De Raedt. Planning with the help of Statistical Relational Learning. ICAPS Workshop on Planning and Learning, pages 23-30, Thessaloniki, Greece, September, 2009.
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L. De Raedt, A. Kimmig, B. Gutmann, K. Kersting, V. Santos Costa, and H. Toivonen. Probabilistic inductive querying using ProbLog. Technical Report CW 552, Department of Computer Science, Katholieke Universiteit Leuven, Belgium, June, 2009.
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M. Bruynooghe, B. De Cat, J. Drijkoningen, D. Fierens, J. Goos, B. Gutmann, A. Kimmig, W. Labeeuw, S. Langenaken, N. Landwehr, W. Meert, E. Nuyts, R. Pellegrims, R. Rymenants, S. Segers, I. Thon, J. Van Eyck, G. Van den Broeck, T. Vangansewinkel, L. Van Hove, J. Vennekens, T. Weytjens, and L. De Raedt. An exercise with statistical relational learning systems. In P. Domingos and K. Kersting, editors, International Workshop on Statistical Relational Learning (SRL-2009), Leuven, Belgium, 2-4 July 2009.
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A. Kimmig, B. Gutmann, and V. Santos Costa. Trading memory for answers: Towards tabling ProbLog. In P. Domingos and K. Kersting, editors, International Workshop on Statistical Relational Learning (SRL-2009), Leuven, Belgium, 2-4 July 2009.
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Joost Vennekens, Angelika Kimmig, Theofrastos Mantadelis, Bernd Gutmann, Maurice Bruynooghe, and Luc De Raedt. From ProbLog to first order logic: A first exploration. In P. Domingos and K. Kersting, editors, International Workshop on Statistical Relational Learning (SRL-2009), Leuven, Belgium, 2-4 July 2009.
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2008

L. De Raedt, B. Demoen, D. Fierens, B. Gutmann, G. Janssens, A. Kimmig, N. Landwehr, T. Mantadelis, W. Meert, R. Rocha, V. Santos Costa, I. Thon, and J. Vennekens. Towards digesting the alphabet-soup of statistical relational learning. In D. Roy, J. Winn, D. McAllester, V. Mansinghka, and J. Tenenbaum, editors, Proceedings of the 1st Workshop on Probabilistic Programming: Universal Languages, Systems and Applications, Whistler, Canada, December 2008.
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N. Landwehr, B. Gutmann, I. Thon, L. De Raedt, and M. Philipose. Relational transformation-based tagging for activity recognition. Fundamenta Informaticae, 89(1):111-129, 2008.
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B. Gutmann, A. Kimmig, and K. Kersting, and L. De Raedt Estimating the Parameters of Probabilistic Databases from Probabilistically Weighted Queries and Proofs [Extended Abstract], Proceedings of the 18th International Conference on Inductive Logic Programming (ILP-2008), Late Breaking Papers, Prague, Czech Republic, September, 2008.
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B. Gutmann, A. Kimmig, L. De Raedt, and K. Kersting. Parameter Learning in Probabilistic Databases: A Least Squares Approach, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerp, Belgium, 15-19 September 2008. Springer
DOI 10.1007/978-3-540-87479-9_49 PDF BibTeX Video
B. Gutmann, A. Kimmig, L. De Raedt, and K. Kersting. Parameter Learning in Probabilistic Databases: A Least Squares Approach, Mining and Learning with Graphs 2008 (MLG08), Helsinki, Finnland, 4-5 July 2008.
PDF BibTeX Video
B. Gutmann, A. Kimmig, L. De Raedt, and K. Kersting. Parameter Learning in Probabilistic Databases: A Least Squares Approach, In L. Wehenkel, P. Geurts, and R. Marée, editors, Benelearn 08, Spa, Belgium, 19-20 May 2008.
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K. Kersting, L. De Raedt, B. Gutmann, A. Karwath, and N. Landwehr. Probabilistic Inductive Logic Programming, volume 4911/2008 of Lecture Notes in Computer Science, chapter Relational Sequence Learning, pages 28-55. Springer, February 2008.
DOI 10.1007/978-3-540-78652-8_2 BibTeX

2007

N. Landwehr, B. Gutmann, I. Thon, M. Philipose and L. De Raedt. Relational Transformation-based Tagging for Human Activity Recognition. In J. Gama, M. Medhat Gaber, J. Aguilar-Ruiz, editors, International Workshop on Knowledge Discovery from Ubiquitious Data Streams (IWKDUS07). Warsaw, Poland, September 17, 2007.
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N. Landwehr, B. Gutmann, I. Thon, M. Philipose and L. De Raedt. Relational Transformation-based Tagging for Human Activity Recognition. In D. Malerba, A. Appice and M. Ceci, editors, Sixth International Workshop on Multi-Relational Data Mining (MRDM07). Warsaw, Poland, September 17, 2007.
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B. Gutmann and K. Kersting. Stratified Gradient Boosting for Fast Training of Conditional Random Fields. In D. Malerba, A. Appice and M. Ceci, editors, Sixth International Workshop on Multi-Relational Data Mining (MRDM07). Warsaw, Poland, September 17, 2007.
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B. Gutmann and K. Kersting. Stratified Gradient Boosting for Fast Training of Conditional Random Fields. In P. Frasconi, K. Kersting, and K. Tsuda, editors, Mining and Learning with Graphs 2007 (MLG07). Florence, Italy, August 1-3, 2007. Extended Abstract
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2006

B. Gutmann and K. Kersting. TildeCRF: Conditional Random Fields for Logical Sequences.In J. Fürnkranz, T. Scheffer, and M. Spiliopoulou, editors, Proceedings of the 15th European Conference on Machine Learning (ECML-2006), volume 4212 of LNAI (Lecture Notes in Artificial Intelligence), pages 174-185. Springer, Berlin, Germany, September, 2006. Best Student Paper
DOI 10.1007/11871842_20 PDF BibTeX
K. Kersting and B. Gutmann. Unbiased Conjugate Direction Boosting for Conditional Random Fields. In T. Gärtner, G.C. Garriga, and T. Meinl, editors, Working Notes of the ECML-2006 Workshop on Mining and Learning with Graphs (MLG 2006), Berlin, Germany, September 2006. Short paper.
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2005

B. Gutmann. Conditional Random Fields for Logical Sequences. Master's thesis, Albert-Ludwigs University, Freiburg i.Br., Germany, October 2005. In German.
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