Brefeld, Ulf

29 publications

MLJ 2025 Interactive Sequential Generative Models for Team Sports Dennis Fassmeyer, Moritz Cordes, Ulf Brefeld

MLJ 2025 Masked Autoencoder for Multiagent Trajectories Yannick Rudolph, Ulf Brefeld

ECML-PKDD 2025 Self-Improvement for Computerized Adaptive Testing Yannick Rudolph, Kai Neubauer, Ulf Brefeld

AISTATS 2022 Modeling Conditional Dependencies in Multiagent Trajectories Yannick Rudolph, Ulf Brefeld

NeurIPS 2022 Semi-Supervised Generative Models for Multiagent Trajectories Dennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld

MLJ 2021 Joint Optimization of an Autoencoder for Clustering and Embedding Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen

ECML-PKDD 2021 Principled Interpolation in Normalizing Flows Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld

NeurIPSW 2020 Graph Conditional Variational Models: Too Complex for Multiagent Trajectories? Yannick Rudolph, Ulf Brefeld, Uwe Dick

NeurIPS 2019 Coresets for Archetypal Analysis Sebastian Mair, Ulf Brefeld

MLJ 2019 Probabilistic Movement Models and Zones of Control Ulf Brefeld, Jan Lasek, Sebastian Mair

ECML-PKDD 2018 Frame-Based Optimal Design Sebastian Mair, Yannick Rudolph, Vanessa Closius, Ulf Brefeld

ECML-PKDD 2017 A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations Maryam Tavakol, Ulf Brefeld

ICML 2017 Frame-Based Data Factorizations Sebastian Mair, Ahcène Boubekki, Ulf Brefeld

MLJ 2016 Spatio-Temporal Convolution Kernels Konstantin Knauf, Daniel Memmert, Ulf Brefeld

JAIR 2013 Toward Supervised Anomaly Detection Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld

ECML-PKDD 2011 Learning from Partially Annotated Sequences Eraldo R. Fernandes, Ulf Brefeld

JMLR 2011 Lp-Norm Multiple Kernel Learning Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien

JMLR 2010 Approximate Tree Kernels Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller

ECML-PKDD 2009 Active and Semi-Supervised Data Domain Description Nico Görnitz, Marius Kloft, Ulf Brefeld

NeurIPS 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning Marius Kloft, Ulf Brefeld, Pavel Laskov, Klaus-Robert Müller, Alexander Zien, Sören Sonnenburg

ECML-PKDD 2009 Feature Selection for Density Level-Sets Marius Kloft, Shinichi Nakajima, Ulf Brefeld

ECML-PKDD 2008 Exact and Approximate Inference for Annotating Graphs with Structural SVMs Thoralf Klein, Ulf Brefeld, Tobias Scheffer

ICML 2007 Supervised Clustering of Streaming Data for Email Batch Detection Peter Haider, Ulf Brefeld, Tobias Scheffer

ICML 2007 Transductive Support Vector Machines for Structured Variables Alexander Zien, Ulf Brefeld, Tobias Scheffer

ICML 2006 Efficient Co-Regularised Least Squares Regression Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel

ICML 2006 Semi-Supervised Learning for Structured Output Variables Ulf Brefeld, Tobias Scheffer

ECML-PKDD 2005 Multi-View Discriminative Sequential Learning Ulf Brefeld, Christoph Büscher, Tobias Scheffer

ICML 2004 Co-EM Support Vector Learning Ulf Brefeld, Tobias Scheffer

ECML-PKDD 2003 Support Vector Machines with Example Dependent Costs Ulf Brefeld, Peter Geibel, Fritz Wysotzki