| 2012 | ICRA | Learning organizational principles in human environments. | Martin J. Schuster, Dominik Jain, Moritz Tenorth, Michael Beetz |
| 2011 | KI | Bayesian Logic Networks and the Search for Samples with Backward Simulation and Abstract Constraint Learning. | Dominik Jain, Klaus von Gleissenthall, Michael Beetz |
| 2011 | KI | Compiling AI Engineering Models for Probabilistic Inference. | Paul Maier, Dominik Jain, Martin Sachenbacher |
| 2010 | ECAI | Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters. | Dominik Jain, Andreas Barthels, Michael Beetz |
| 2010 | IROS | Combining perception and knowledge processing for everyday manipulation. | Dejan Pangercic, Moritz Tenorth, Dominik Jain, Michael Beetz |
| 2010 | KI | Soft Evidential Update via Markov Chain Monte Carlo Inference. | Dominik Jain, Michael Beetz |
| 2010 | KI | Plan Assessment for Autonomous Manufacturing as Bayesian Inference. | Paul Maier, Dominik Jain, Stefan Waldherr, Martin Sachenbacher |
| 2009 | ICRA | Equipping robot control programs with first-order probabilistic reasoning capabilities. | Dominik Jain, Lorenz Msenlechner, Michael Beetz |
| 2009 | IROS | Probabilistic categorization of kitchen objects in table settings with a composite sensor. | Zoltan Csaba Marton, Radu Bogdan Rusu, Dominik Jain, Ulrich Klank, Michael Beetz |
| 2008 | RO-MAN | The Assistive Kitchen - A demonstration scenario for cognitive technical systems. | Michael Beetz, Freek Stulp, Bernd Radig, Jan Bandouch, Nico Blodow, Mihai Emanuel Dolha, Andreas Fedrizzi, Dominik Jain, Ulrich Klank, Ingo Kresse, Alexis Maldonado, Zoltan-Csaba Marton, Lorenz Msenlechner, Federico Ruiz-Ugalde, Radu Bogdan Rusu, Moritz Tenorth |
| 2007 | KI | Extending Markov Logic to Model Probability Distributions in Relational Domains. | Dominik Jain, Bernhard Kirchlechner, Michael Beetz |