Office: N4.019

Max-Planck-Ring 4

72076 Tübingen

Germany

Max-Planck-Ring 4

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 our field, 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 last formal **Research Overview** and **Alumni List**.

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

- We have written a book about causality that was just published as an open access title at MIT Press (PDF, with Jonas Peters and Dominik Janzing).
- 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.
- 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).
- I am a member of the LIGO scientific collaboration to detect gravitational waves
- 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
- 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
- Member of the German National Academy of Science (Leopoldina)
- Fellow of the ACM (Association for Computing Machinery)
- Gottfried-Wilhelm-Leibniz-Preis of the German Science Foundation (2018)
- 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
- 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**.

681 results
(View BibTeX file of all listed publications)

**An introduction to Kernel Learning Algorithms**
In *Kernel Methods for Remote Sensing Data Analysis*, pages: 25-48, 2, (Editors: Gustavo Camps-Valls and Lorenzo Bruzzone), Wiley, New York, NY, USA, 2009 (inbook)

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

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

**Automatic Image Colorization Via Multimodal Predictions**
In *Computer Vision - ECCV 2008, Lecture Notes in Computer Science, Vol. 5304*, pages: 126-139, (Editors: DA Forsyth and PHS Torr and A Zisserman), Springer, Berlin, Germany, 10th European Conference on Computer Vision, October 2008 (inproceedings)

**MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration**
*Journal of Nuclear Medicine*, 49(11):1875-1883, October 2008 (article)

**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)

**Interactive images**
United States Patent, No 7444015, October 2008 (patent)

**Interactive images**
United States Patent, No 7444016, October 2008 (patent)

**Automatic 3D Face Reconstruction from Single Images or Video**
In *FG 2008*, pages: 1-8, IEEE Computer Society, Los Alamitos, CA, USA, 8th IEEE International Conference on Automatic Face and Gesture Recognition, September 2008 (inproceedings)

**Kernel Measures of Conditional Dependence**
In *Advances in neural information processing systems 20*, pages: 489-496, (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)

**An Analysis of Inference with the Universum**
In *Advances in neural information processing systems 20*, pages: 1369-1376, (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)

**Similarity, Kernels, and the Triangle Inequality**
*Journal of Mathematical Psychology*, 52(5):297-303, September 2008 (article)

**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)

**Interactive images**
United States Patent, No 7421115, September 2008 (patent)

**Voluntary Brain Regulation and Communication with ECoG-Signals**
*Epilepsy and Behavior*, 13(2):300-306, August 2008 (article)

**RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics**
In *OWR 2008*, pages: 42-44, (Editors: K Jetter and S Smale and D-X Zhou), Mathematisches Forschungsinstitut, Oberwolfach-Walke, Germany, 30. Oberwolfach Report, August 2008 (inproceedings)

**Discovering Common Sequence Variation in
Arabidopsis thaliana**
16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB), July 2008 (talk)

**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)

**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)

**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)

**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)

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

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

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

**Pattern detection using reduced set vectors**
United States Patent, No 7391908, June 2008 (patent)

**Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning**
*Psychonomic Bulletin and Review*, 15(2):256-271, April 2008 (article)

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

**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)

**Kernels and methods for selecting kernels for use in learning machines**
United States Patent, No 7353215, April 2008 (patent)

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

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

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

**Methods for feature selection in a learning machine**
United States Patent, No 7318051, January 2008 (patent)

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

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

**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)

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

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

**A Hilbert Space Embedding for Distributions**
In *Algorithmic Learning Theory, Lecture Notes in Computer Science 4754 *, pages: 13-31, (Editors: M Hutter and RA Servedio and E Takimoto), Springer, Berlin, Germany, 18th International Conference on Algorithmic Learning Theory (ALT), October 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)

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

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

**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)

**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)

**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)