Director

Office: 211

Spemannstr. 38

72076 Tübingen

Germany

Spemannstr. 38

72076 Tübingen

Germany

+49 7071 601 551

+49 7071 601 552

My scientific interests are in the field of machine learning and inference from empirical data. In particular, I study kernel methods for extracting regularities from possibly high-dimensional data. These regularities are usually statistical ones, however, in recent years I have also become interested in methods for finding causal structures that underly statistical dependences. I have worked on a number of different applications of machine learning - in data analysis, you get "to play in everyone's backyard." Most recently, I have been trying to play in the backyard of astronomers and photographers.

I am heading the Department of Empirical Inference; take a look at our **Research Overview** and **Alumni List**.

Many of my papers can downloaded if you click on the tab "publications;" alternatively, from http://www.kernel-machines.org/ or from arxiv. Some additional links:

- Some chapters of our book Learning with Kernels.
- Review paper on kernel methods in the Annals of Statistics.
- Short high-level introduction on statistical learnig theory (in German) that appeared in the 2004 Jahrbuch of the Max Planck Society.
- Obituary for Alexej Chervonenkis (NIPS 2014).
- With the growing interest in (how to make money with) big data, machine learning has significantly gained in popularity. We have published an article in the German newspaper
*FAZ*, discussing some of the implications.*Disclaimer: the text that appears above our names was neither written nor approved by us.* - A children's book
- Photographs: view of the Alps from the southern black forest, a rainbow in La Palma, a lunar eclipse in 2007, the Andromeda galaxy, the Milky Way on the Roque de los Muchachos, the North America Nebula, the constellation Orion with Barnard's loop, and finally a picture of a beautiful northern light, which I took a few years ago from the plane, on the way home from a conference in Vancouver. I always try to get a window seat when flying home from the North American west coast - it is surprizingly common to see northern lights. Looking at the night sky is a fascinating and humbling experience.
- open letter against autonomous AI weapons

Machine Learning Causal Inference Artificial Intelligence Computational Photography Statistics

- M.Sc. in mathematics and Lionel Cooper Memorial Prize, University of London (1992)
- Diplom in physics (Tübingen, 1994)
- doctorate in computer science from the Technical University Berlin (1997); thesis on Support Vector Learning (main advisor: V. Vapnik, AT&T Bell Labs) won the annual dissertation prize of the German Association for Computer Science (GI)
- scientific member of the Max Planck Society, 2001
- awards won by his lab
- J. K. Aggarwal Prize of the International Association for Pattern Recognition, 2006
- Max Planck Research Award, 2011
- Academy Prize of the Berlin-Brandenburg Academy of Sciences and Humanities, 2012
- Royal Society Milner Award, 2014
- Honorarprofessor at the Technical University Berlin (computer science) and at the Eberhard-Karls University Tübingen (physics)
- list of publications as of January 2015
- "ISI highly cited" (added in 2010)
- the h Index for Computer Science
- Google Scholar page
- co-editor-in-chief of JMLR
- board member, ACM Books
- member of the boards of the NIPS foundation and of the International Machine Learning Society
- PC member (e.g., NIPS, COLT, ICML, UAI, DAGM, CVPR, Snowbird Learning Workshop) and co-chair of various conferences (COLT'03, DAGM'04, NIPS'05, NIPS'06 and the first two kernel workshops).
- co-founder of the Machine Learning Summer Schools
- two-page CV: PDF.

If you'd like to **contact** me, please consider these two notes:

*1. I recently became co-editor-in-chief of JMLR. I work for JMLR because I believe in its open access model, but it takes a lot of time. During my JMLR term, please don't convince me to do other journal or grant reviewing duties.*

*2. I am not very organized with my e-mail so if you want to apply for a position in my lab, please send your application only to Sekretariat-Schoelkopf@tuebingen.mpg.de. Note that we do not respond to non-personalized applications that look like they are being sent to a large number of places simultaneously.*

We are always happy to receive outstanding applications for **PhD positions **and **postdocs**. In particular, we are looking for PhD students with interests in general machine learning (including kernel methods and causal inference) or computational imaging (photography, astronomy, MR).

614 results
(BibTeX)

**At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana**
*Genome Biology*, 9(7: R112):1-16, July 2008 (article)

**Kernels, Regularization and Differential Equations**
*Pattern Recognition*, 41(11):3271-3286, November 2008 (article)

**Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods**
*Neurocomputing*, 71(7-9):1248-1256, March 2008 (article)

**Tailoring density estimation via reproducing kernel moment matching**
In *Proceedings of the 25th International Conference onMachine Learning*, pages: 992-999, (Editors: WW Cohen and A McCallum and S Roweis), ACM Press, New York, NY, USA, ICML, July 2008 (inproceedings)

**Injective Hilbert Space Embeddings of Probability Measures**
In *Proceedings of the 21st Annual Conference on Learning Theory*, pages: 111-122, (Editors: RA Servedio and T Zhang), Omnipress, Madison, WI, USA, 21st Annual Conference on Learning Theory (COLT), July 2008 (inproceedings)

**A Kernel Method for the Two-sample Problem**
(157), Max-Planck-Institute for Biological Cybernetics Tübingen, April 2008 (techreport)

**Visual saliency re-visited: Center-surround patterns emerge as optimal predictors for human fixation targets**
*Journal of Vision*, 8(6):635, 8th Annual Meeting of the Vision Sciences Society (VSS), June 2008 (poster)

**MR-Based PET Attenuation Correction: Initial Results for Whole Body**
Medical Imaging Conference, October 2008 (talk)

**Support Vector Machines and Kernels for Computational Biology**
*PLoS Computational Biology*, 4(10: e1000173):1-10, October 2008 (article)

**Kernel Methods in Machine Learning**
*Annals of Statistics*, 36(3):1171-1220, June 2008 (article)

**Contour-propagation Algorithms for Semi-automated Reconstruction of Neural Processes**
*Journal of Neuroscience Methods*, 167(2):349-357, January 2008 (article)

**Manifold-valued Thin-plate Splines
with Applications in Computer Graphics**
*Computer Graphics Forum*, 27(2):437-448, April 2008 (article)

**Learning Inverse Dynamics: A Comparison**
In *Advances in Computational Intelligence and Learning: Proceedings of the European Symposium on Artificial Neural Networks*, pages: 13-18, (Editors: M Verleysen), d-side, Evere, Belgium, 16th European Symposium on Artificial Neural Networks (ESANN), April 2008 (inproceedings)

**Simultaneous Implicit Surface
Reconstruction and Meshing**
(179), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Energy Functionals for
Manifold-valued Mappings and
Their Properties**
(167), Max Planck Institute for Biological Cybernetics, Tübingen, January 2008 (techreport)

**Non-monotonic Poisson Likelihood Maximization**
(170), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2008 (techreport)

**A Kernel Statistical Test of Independence**
In *Advances in neural information processing systems 20*, pages: 585-592, (Editors: JC Platt and D Koller and Y Singer and S Roweis), Curran, Red Hook, NY, USA, 21st Annual Conference on Neural Information Processing Systems (NIPS), September 2008 (inproceedings)

**Sparse Multiscale Gaussian Process Regression**
In *Proceedings of the 25th International Conference on Machine Learning*, pages: 1112-1119, (Editors: WW Cohen and A McCallum and S Roweis), ACM Press, New York, NY, USA, ICML, July 2008 (inproceedings)

**Thin-Plate Splines Between Riemannian Manifolds**
Workshop on Geometry and Statistics of Shapes, June 2008 (talk)

**Pattern detection**
United States Patent, No 7236626, June 2007 (patent)

**Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning**
*PLoS Computational Biology*, 3(2, e20):0313-0322, February 2007 (article)

**The Need for Open Source Software in Machine Learning**
*Journal of Machine Learning Research*, 8, pages: 2443-2466, October 2007 (article)

**A Kernel-Based Causal Learning Algorithm**
In *Proceedings of the 24th International Conference on Machine Learning*, pages: 855-862, (Editors: Z Ghahramani), ACM Press, New York, NY, USA, ICML, June 2007 (inproceedings)

**A Local Learning Approach for Clustering**
In *Advances in Neural Information Processing Systems 19*, pages: 1529-1536, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**On the Pre-Image Problem in Kernel Methods**
In *Kernel Methods in Bioengineering, Signal and Image Processing*, pages: 284-302, (Editors: G Camps-Valls and JL Rojo-Álvarez and M Martínez-Ramón), Idea Group Publishing, Hershey, PA, USA, January 2007 (inbook)

**Sparse Multiscale Gaussian Process Regression**
(162), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2007 (techreport)

**Better Codes for the P300 Visual Speller**
*G{\"o}ttingen Meeting of the German Neuroscience Society*, 7, pages: 123, March 2007 (poster)

**MR-Based PET Attenuation Correction: Method and Validation**
*2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2007)*, 2007(M16-6):1-2, November 2007 (poster)

**MR-Based PET Attenuation Correction: Method and Validation**
Joint Molecular Imaging Conference, September 2007 (talk)

**Towards Machine Learning of Motor Skills**
In *Proceedings of Autonome Mobile Systeme (AMS)*, pages: 138-144, (Editors: K Berns and T Luksch), 2007, clmc (inproceedings)

**Predicting Structured Data**
pages: 360, Advances in neural information processing systems, MIT Press, Cambridge, MA, USA, September 2007 (book)

**Feature Selection for Trouble Shooting
in Complex Assembly Lines**
*IEEE Transactions on Automation Science and Engineering*, 4(3):465-469, July 2007 (article)

**A Kernel Method for the Two-Sample-Problem**
In *Advances in Neural Information Processing Systems 19*, pages: 513-520, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Learning Dense 3D Correspondence**
In *Advances in Neural Information Processing Systems 19*, pages: 1313-1320, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**About the Triangle Inequality in Perceptual Spaces**
*Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE)*, 4, pages: 308, February 2007 (poster)

**Machine Learning Algorithms for Polymorphism Detection**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference**
*Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006)*, pages: 1690, MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (proceedings)

**A Kernel Approach to Comparing Distributions**
In *Proceedings of the 22. AAAI Conference on Artificial Intelligence*, pages: 1637-1641, AAAI Press, Menlo Park, CA, USA, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI), July 2007 (inproceedings)

**How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye movements**
In *Pattern Recognition*, pages: 405-414, (Editors: FA Hamprecht and C Schnörr and B Jähne), Springer, Berlin, Germany, 29th Annual Symposium of the German Association for Pattern Recognition (DAGM), September 2007 (inproceedings)

**Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions**
In *Advances in Neural Information Processing Systems 19*, pages: 273-280, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Local Learning Projections**
In *Proceedings of the 24th International Conference on Machine Learning*, pages: 1039-1046, (Editors: Z Ghahramani), ACM Press, New York, NY, USA, ICML, June 2007 (inproceedings)

**Automatic 3D Face Reconstruction from Single Images or Video**
(160), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, February 2007 (techreport)

**Center-surround filters emerge from optimizing predictivity in a
free-viewing task**
*Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE)*, 4, pages: 207, February 2007 (poster)

**Nonlinear Receptive Field Analysis: Making Kernel Methods Interpretable**
*Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)*, 4, pages: 16, February 2007 (poster)

**A Hilbert Space Embedding for Distributions**
*Proceedings of the 10th International Conference on Discovery Science (DS 2007)*, 10, pages: 40-41, October 2007 (poster)

**Impact of target-to-target interval on classification performance in the P300 speller**
Scientific Meeting "Applied Neuroscience for Healthy Brain Function", May 2007 (talk)

**A Tutorial on Kernel Methods for Categorization**
*Journal of Mathematical Psychology*, 51(6):343-358, December 2007 (article)

**Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive Real-Time ICA**
*IEEE Transactions on Biomedical Engineering*, 54(10):1867-1874, September 2007 (article)

**A Nonparametric Approach to Bottom-Up Visual Saliency**
In *Advances in Neural Information Processing Systems 19*, pages: 689-696, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)