33 results
(View BibTeX file of all listed publications)

**Elements of Causal Inference - Foundations and Learning Algorithms**
Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (book)

Hennig, P.
**Computing with Uncertainty**
2017 (mpi_year_book)

**Biomechanics and Locomotion Control in Legged Animals and Legged Robots**
2017 (mpi_year_book)

pi
Sitti, M.
**Mobile Microrobotics**
*Mobile Microrobotics*, The MIT Press, Cambridge, MA, 2017 (book)

**New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481)**
*Dagstuhl Reports*, 6(11):142-167, 2017 (book)

**From Optimal Transport to Generative Modeling: the VEGAN cookbook**
2017 (techreport)

**Design of a visualization scheme for functional connectivity data of Human Brain**
Hochschule Osnabrück - University of Applied Sciences, 2017 (thesis)

**Distributed Event-based State Estimation**
Max Planck Institute for Intelligent Systems, November 2015 (techreport)

**Cosmology from Cosmic Shear with DES Science Verification Data**
*arXiv preprint arXiv:1507.05552*, 2015 (techreport)

Trimpe, S.
**Learning robots**
2015 (mpi_year_book)

**The DES Science Verification Weak Lensing Shear Catalogs**
*arXiv preprint arXiv:1507.05603*, 2015 (techreport)

Sánchez, Samuel
**The smallest human-made nano-motor**
2015 (mpi_year_book)

**Puppet Flow**
(7), Max Planck Institute for Intelligent Systems, October 2013 (techreport)

**Learning and Optimization with Submodular Functions**
ArXiv, May 2013 (techreport)

**A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them**
(CS-10-03), Brown University, Department of Computer Science, January 2013 (techreport)

**Animating Samples from Gaussian Distributions**
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)

Gehler, P. V.
**Perceiving Systems – Computers that see**
2013 (mpi_year_book)

**Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era**
*arXiv:1309.0653*, 2013 (techreport)

Liu, Na
**Being small, being smart**
2013 (mpi_year_book)

**Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars**
*arXiv:1309.0654*, 2013 (techreport)

**Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik**
Springer, 2013 (book)

**Learning an Interactive Segmentation System**
Max Planck Institute for Biological Cybernetics, December 2009 (techreport)

**An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction**
(187), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)

**Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution**
(188), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)

**Consistent Nonparametric Tests of Independence**
(172), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2009 (techreport)

**Semi-supervised subspace analysis of human functional magnetic resonance imaging data**
(185), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2009 (techreport)

**The SL simulation and real-time control software package**
University of Southern California, Los Angeles, CA, 2009, clmc (techreport)

**The SL simulation and real-time control software package**
University of Southern California, Los Angeles, CA, 2009, clmc (techreport)

**Biologically Inspired Polymer Microfibrillar Arrays for Mask Sealing**
CARNEGIE-MELLON UNIV PITTSBURGH PA, 2009 (techreport)

**Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond**
pages: 644, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, December 2002, Parts of this book, including an introduction to kernel methods, can be downloaded here. (book)

**Kernel Dependency Estimation**
(98), Max Planck Institute for Biological Cybernetics, August 2002 (techreport)

**A compression approach to support vector model selection**
(101), Max Planck Institute for Biological Cybernetics, 2002, see more detailed JMLR version (techreport)