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Langovoy, M.; Wittich, O.: Multiple testing, uncertainty and realistic pictures (EURANDOM Preprint Series, 2011-004). (2011), 21 pp.

Wentink, M.; Nooij, S.; Zaichik, L.; Smaili, H.: Optimized Motion Driving Algorithms in Matlab/Simulink (Simulation of Upset Recovery in Aviation (SUPRA), EU Grant 233543, SUPRA Report 5.2). (2011)

Langovoy, M.; Wittich, O.: Computationally efficient algorithms for statistical image processing: Implementation in R (Eurandom Preprint Series, 2010-053). EURANDOM, Eindhoven, The Netherlands (2010), 24 pp.

Seeger, M.; Nickisch, H.: Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 16 pp.

Langovoy, M.; Wittich, O.: Robust nonparametric detection of objects in noisy images (Eurandom Preprint Series, 2010-049). EURANDOM, Eindhoven, The Netherlands (2010), 21 pp.

Seldin, Y.: A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 9 pp.

Tandon, R.; Sra, S.: Sparse nonnegative matrix approximation: new formulations and algorithms (Technical Report of the Max Planck Institute for Biological Cybernetics, 193). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 19 pp.

Barbero Jimenez, A.; Sra, S.: Fast algorithms for total-variation based optimization (Technical Report of the Max Planck Institute for Biological Cybernetics, 194). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 27 pp.

Jegelka, S.; Bilmes, J.: Cooperative Cuts for Image Segmentation (UWEE Technical Report, UWEETR-1020-0003). Department of Electrical Engineering, University of Washington, Seattle, WA, USA (2010), 21 pp.

Seeger, M.; Nickisch, H.: Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 11 pp.

Nickisch, H.; Rasmussen, C.: Gaussian Mixture Modeling with Gaussian Process Latent Variable Models. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 10 pp.

Sra, S.: Generalized Proximity and Projection with Norms and Mixed-norms (Technical Report of the Max Planck Institute for Biological Cybernetics, 192). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 13 pp.

Jegelka, S.; Bilmes, J.: Cooperative Cuts: Graph Cuts with Submodular Edge Weights (Technical Report of the Max Planck Institute for Biological Cybernetics, 189). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 32 pp.

Brud, A.: Assessment of Intracellular Targets with MRI. CMST COST Action D38: Metal-Based Systems for Molecular Imaging Applications, Tübingen, Germany (2010)

Engelmann, J.: Intracellular Targeting Agents. (2009), 65 pp.

Nickisch, H.; Kohli, P.; Rother, C.: Learning an Interactive Segmentation System. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 11 pp.

Harmeling, S.; Sra, S.; Hirsch, M.; Schölkopf, B.: An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction (Technical Report of the Max Planck Institute for Biological Cybernetics, 187). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 9 pp.

Hirsch, M.; Sra, S.; Schölkopf, B.; Harmeling, S.: Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution (Technical Report of the Max Planck Institute for Biological Cybernetics, 188). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 9 pp.

Langovoy, M.; Wittich, O.: Detection of objects in noisy images and site percolation on square lattices (EURANDOM Reports, 2009-035). (2009), 14 pp.

Hosseini, R.; Bethge, M.: Spectral Stacking: Unbiased Shear Estimation for Weak Gravitational Lensing (Technical Report of the Max Planck Institute for Biological Cybernetics, 186). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 9 pp.