Principal Surfaces from Unsupervised Kernel Regression. - Peter Meinicke; Stefan Klanke; Roland Memisevic; Helge J. Ritter (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression. - Stefan Klanke; Helge J. Ritter (ICANN (2), 2006)

Dynamic Path Planning for a 7-DOF Robot Arm. - Stefan Klanke; Dmitry V. Lebedev; Robert Haschke; Jochen J. Steil; Helge J. Ritter (IROS, 2006)

Variants of unsupervised kernel regression: General cost functions. - Stefan Klanke; Helge J. Ritter (Neurocomputing, 2007)

Learning manifolds with the parametrized self-organizing map and unsupervised kernel regression. - Stefan Klanke (2007)

Learning potential-based policies from constrained motion. - Matthew Howard 001; Stefan Klanke; Michael Gienger; Christian Goerick; Sethu Vijayakumar (Humanoids, 2008)

Optimal Control with Adaptive Internal Dynamics Models. - Djordje Mitrovic; Stefan Klanke; Sethu Vijayakumar (ICINCO-ICSO, 2008)

Multi-task Gaussian Process Learning of Robot Inverse Dynamics. - Kian Ming Adam Chai; Christopher K. I. Williams; Stefan Klanke; Sethu Vijayakumar (NIPS, 2008)

Adaptive Optimal Control for Redundantly Actuated Arms. - Djordje Mitrovic; Stefan Klanke; Sethu Vijayakumar (SAB, 2008)

A Library for Locally Weighted Projection Regression. - Stefan Klanke; Sethu Vijayakumar; Stefan Schaal (J. Mach. Learn. Res., 2008)

Does dimensionality reduction improve the quality of motion interpolation? - Sebastian Bitzer; Stefan Klanke; Sethu Vijayakumar (ESANN, 2009)

A novel method for learning policies from constrained motion. - Matthew Howard 001; Stefan Klanke; Michael Gienger; Christian Goerick; Sethu Vijayakumar (ICRA, 2009)

Robust constraint-consistent learning. - Matthew Howard 001; Stefan Klanke; Michael Gienger; Christian Goerick; Sethu Vijayakumar (IROS, 2009)

Towards Semi-supervised Manifold Learning: UKR with Structural Hints. - Jan Steffen; Stefan Klanke; Sethu Vijayakumar; Helge J. Ritter (WSOM, 2009)

A novel method for learning policies from variable constraint data. - Matthew Howard 001; Stefan Klanke; Michael Gienger; Christian Goerick; Sethu Vijayakumar (Auton. Robots, 2009)

Exploiting sensorimotor stochasticity for learning control of variable impedance actuators. - Djordje Mitrovic; Stefan Klanke; Matthew Howard 001; Sethu Vijayakumar (Humanoids, 2010)

Optimal Feedback Control for anthropomorphic manipulators. - Djordje Mitrovic; Sho Nagashima; Stefan Klanke; Takamitsu Matsubara; Sethu Vijayakumar (ICRA, 2010)

Methods for Learning Control Policies from Variable-Constraint Demonstrations. - Matthew Howard 001; Stefan Klanke; Michael Gienger; Christian Goerick; Sethu Vijayakumar (From Motor Learning to Interaction Learning in Robots, 2010)

Adaptive Optimal Feedback Control with Learned Internal Dynamics Models. - Djordje Mitrovic; Stefan Klanke; Sethu Vijayakumar (From Motor Learning to Interaction Learning in Robots, 2010)

Learning impedance control of antagonistic systems based on stochastic optimization principles. - Djordje Mitrovic; Stefan Klanke; Sethu Vijayakumar (Int. J. Robotics Res., 2011)