Director of the Department

Prof. Dr. Bernhard Schölkopf
Prof. Dr. Bernhard Schölkopf

Secretary: Sabrina Rehbaum
Phone: +49 7071 601-551
Fax: +49 7071 601-552

More about the Department

Scientific Awards

Since the foundation of our department in 2002, we have received the following awards.


Publication List Department Schölkopf

References per page: Year: Medium:

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Articles (2):

Loktyushin A, Nickisch H, Pohmann R and Schölkopf B (April-2015) Blind multirigid retrospective motion correction of MR images Magnetic Resonance in Medicine 73(4) 1457–1468.
Küffner R, Zach N, Norel R, Hawe J, Schoenfeld D, Wang L, Li G, Fang L, Mackey L, Hardiman O, Cudkowicz M, Sherman A, Ertaylan G, Grosse-Wentrup M, Hothorn T, van Ligtenberg J, Macke JH, Meyer T, Schölkopf B, Tran L, Vaughan R, Stolovitzky G and Leitner ML (January-2015) Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression Nature Biotechnology 33(1) 51-57.

Contributions to books (1):

Charpiat G, Hofmann M and Schölkopf B: Kernel Methods in Medical Imaging, 63-81. In: Handbook of Biomedical Imaging: Methodologies and Clinical Research, (Ed) N. Paragios, Springer, Boston, MA, USA, (2015).


Articles (4):

Kümmerer M, Theis L and Bethge M (November-2014) Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet - . submitted
Muelling K, Boularias A, Mohler B, Schölkopf B and Peters J (October-2014) Learning strategies in table tennis using inverse reinforcement learning Biological Cybernetics 108(5) 603-619.
Froudarakis E, Berens P, Ecker AS, Cotton RJ, Sinz FH, Yatsenko D, Saggau P, Bethge M and Tolias AS (June-2014) Population code in mouse V1 facilitates readout of natural scenes through increased sparseness Nature Neuroscience 17(6) 851–857.
Ecker AS, Berens P, Cotton RJ, Subramaniyan M, Denfield GH, Cadwell CR, Smirnakis SM, Bethge M and Tolias AS (April-2014) State Dependence of Noise Correlations in Macaque Primary Visual Cortex Neuron 82(1) 235–248.

Conference papers (2):

Peters J, Mülling K and Kober J (2014) Experiments with Motor Primitives to learn Table Tennis In: Experimental Robotics, 12th International Symposium on Experimental Robotics (ISER 2010), Springer, Berlin, Germany, 347-359.
Besserve M, Logothetis NK and Schölkopf B (2014) Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators In: Advances in Neural Information Processing Systems 26, Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Curran, Red Hook, NY, USA, 2537-2545.

Posters (1):

Schütt H, Harmeling S, Macke J and Wichmann F (August-2014): Pain-free bayesian inference for psychometric functions, 37th European Conference on Visual Perception (ECVP 2014), Beograd, Serbia, Perception, 43(ECVP Abstract Supplement) 162.

Talks (1):

Besserve M, Schölkopf B and Logothetis NK (November-15-2014) Abstract Talk: Unsupervised identification of neural events in local field potentials, 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), Washington, DC, USA 2.12.


Articles (9):

Loktyuschin A, Nickisch H, Pohmann R and Schölkopf B (December-2013) Blind Retrospective Motion Correction of MR Images Magnetic Resonance in Medicine 70(6) 1608–1618.
Chagas AM, Theis L, Sengupta B, Stüttgen MC, Bethge M and Schwarz C (December-2013) Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents Frontiers in Neural Circuits 7(190) 1-17.
Theis L, Chagas AM, Arnstein D, Schwarz C and Bethge M (November-2013) Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification PLoS Computational Biology 9(11) 1-9.
Soekadar SR, Born J, Birbaumer N, Bensch M, Halder S, Murguialday AR, Gharabaghi A, Nijboer F, Schölkopf B and Martens S (September-2013) Fragmentation of slow wave sleep after onset of complete locked-in state Journal of Clinical Sleep Medicine 9(9) 951-953.
Cherian A, Sra S, Banerjee A and Papanikolopoulos N (September-2013) Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices IEEE Transactions on Pattern Analysis and Machine Intelligence 35(9) 2161-2174.
Hennig P and Kiefel M (March-2013) Quasi-Newton Methods: A New Direction Journal of Machine Learning Research 14 843−865.
Haefner RM, Gerwinn S, Macke JH and Bethge M (February-2013) Inferring decoding strategies from choice probabilities in the presence of correlated variability Nature Neuroscience 16(2) 235–242.
Gerhard HE, Wichmann FA and Bethge M (January-2013) How sensitive is the human visual system to the local statistics of natural images? PLoS Computational Biology 9(1) 1-15.
Maier M, von Luxburg U and Hein M (January-2013) How the result of graph clustering methods depends on the construction of the graph ESAIM: Probability and Statistics 17 370-418.

Conference papers (3):

Wang Z, Deisenroth MP, Ben Amor H, Vogt D, Schölkopf B and Peters J (July-2013) Probabilistic Modeling of Human Movements for Intention Inference In: Robotics: Science and Systems VIII, 2012 Robotics: Science and Systems Conference, MIT Press, Cambridge, MA, USA, 433-440.
Balduzzi D and Besserve M (April-2013) Towards a learning-theoretic analysis of spike-timing dependent plasticity In: Advances in Neural Information Processing Systems 25, Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), Curran, Red Hook, NY, USA, 2465-2473.
Balduzzi D (2013) Falsification and future performance, Series: Lecture Notes in Computer Science ; 7070 In: Algorithmic Probability and Friends: Bayesian Prediction and Artificial Intelligence, Ray Solomonoff 85th Memorial Conference 2011, Springer, Berlin, Germany, 65-78.

Posters (6):

Eschenko O, Besserve M, Murayama Y, Evrard H, Beyerlein M, Oeltermann A and Logothetis NK (November-13-2013): BOLD responses associated with hippocampal ripples in the rat brain, 43rd Annual Meeting of the Society for Neuroscience (Neuroscience 2013), San Diego, CA, USA.
Safavi S, Panagiotaropoulos T, Kapoor V, Logothetis NK and Besserve M (November-12-2013): Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC, 43rd Annual Meeting of the Society for Neuroscience (Neuroscience 2013), San Diego, CA, USA.
Safavi S, Panagiotaropoulos T, Kapoor V, Logothetis NK and Besserve M (September-2013): Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex, Bernstein Conference 2013, Tübingen, Germany.
Gatys L, Ecker A, Tchumatchenko T and Bethge M (September-2013): Information Coding in the Variance of Neural Activity, Bernstein Conference 2013, Tübingen, Germany.
Farzami T, Theis L and Bethge M (September-2013): Neural Adaptation as Bayesian Inference, Bernstein Conference 2013, Tübingen, Germany.
Baden T, Berens P, Franke K, Rezac M and Bethge M (September-2013): What the mouse eye tells the mouse brain: Recording the entire visual representation along the vertical pathway in the retina, Bernstein Conference 2013, Tübingen, Germany.

Talks (2):

Loktyushin A, Nickisch H, Pohmann R and Schölkopf B (October-4-2013) Abstract Talk: Multi-rigid motion correction of MR images, 30th Annual Scientific Meeting ESMRMB 2013, Toulouse, France, Magnetic Resonance Materials in Physics, Biology and Medicine, 26(Supplement 1) 176.
Logothetis NK, Eschenko O, Murayama Y, Augath M, Steudel T, Evrard HC, Besserve M and Oeltermann A (July-2013) Keynote Lecture: Studying large-scale brain networks: electrical stimulation and neural-event-triggered fMRI, Twenty-Second Annual Computational Neuroscience Meeting (CNS*2013), Paris, France, BMC Neuroscience, 14(Supplement 1) A1.


Articles (17):

Seldin Y, Laviolette F, Cesa-Bianchi N, Shawe-Taylor J and Auer P (December-2012) PAC-Bayesian Inequalities for Martingales IEEE Transactions on Information Theory 58(12) 7086-7093.
Kober J, Wilhelm A, Oztop E and Peters J (November-2012) Reinforcement learning to adjust parametrized motor primitives to new situations Autonomous Robots 33(4) 361-379.
Berens P, Ecker AS, Cotton RJ, Ma WJ, Bethge M and Tolias AS (August-2012) A Fast and Simple Population Code for Orientation in Primate V1 Journal of Neuroscience 32(31) 10618-10626.
Nguyen-Tuong D and Peters J (August-2012) Online Kernel-based Learning for Task-Space Tracking Robot Control IEEE Transactions on Neural Networks and Learning Systems 23(9) 1417-1425.
Hennig P and Schuler CJ (June-2012) Entropy Search for Information-Efficient Global Optimization Journal of Machine Learning Research 13 1809-1837.
Nickisch H (May-2012) glm-ie: Generalised Linear Models Inference & Estimation Toolbox Journal of Machine Learning Research 13 1699−1703.
Grosse-Wentrup M and Schölkopf B (May-2012) High gamma-power predicts performance in sensorimotor-rhythm brain-computer interfaces Journal of Neural Engineering 9(4) 1-8.
Janzing D, Mooij J, Zhang K, Lemeire J, Zscheischler J, Daniušis P, Steudel B and Schölkopf B (May-2012) Information-geometric approach to inferring causal directions Artificial Intelligence 182-183 1-31.
Putzeys T, Bethge M, Wichmann F, Wagemans J and Goris R (April-2012) A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses PLoS Computational Biology 8(4) 1-13.
Karaletsos T, Stegle O, Dreyer C, Winn J and Borgwardt KM (April-2012) ShapePheno: Unsupervised extraction of shape phenotypes from biological image collections Bioinformatics 28(7) 1001-1008.
Helbig HB, Ernst MO, Ricciardi E, Pietrini P, Thielscher A, Mayer KM, Schultz J and Noppeney U (April-2012) The neural mechanisms of reliability weighted integration of shape information from vision and touch NeuroImage 60(2) 1063–1072.
Gretton A, Borgwardt K, Rasch M, Schölkopf B and Smola A (March-2012) A Kernel Two-Sample Test Journal of Machine Learning Research 13 723−773.
Sra S (March-2012) A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of Is(x) Computational Statistics 27(1) 177-190.
Lampert CH and Peters J (March-2012) Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components Journal of Real-Time Image Processing 7(1) 31-41.
Hill NJ and Schölkopf B (February-2012) An online brain–computer interface based on shifting attention to concurrent streams of auditory stimuli Journal of Neural Engineering 9(2) 1-13.
Zander TO and Jatzev S (February-2012) Context-aware brain-computer interfaces: exploring the information space of user, technical system and environment Journal of Neural Engineering 9(1) 1-10.
Gomez Rodriguez M, Leskovec J and Krause A (February-2012) Inferring Networks of Diffusion and Influence ACM Transactions on Knowledge Discovery from Data 5(4:21) 1-37.

Conference papers (25):

Peters J, Mülling K, Kober J, Nguyen-Tuong D and Krömer O (August-2012) Robot Skill Learning20th European Conference on Artificial Intelligence (ECAI 2012), IOS Press, Amsterdam, Netherlands, 40-45.
Gomez Rodriguez M and Schölkopf B (July-2012) Influence Maximization in Continuous Time Diffusion Networks29th International Conference on Machine Learning (ICML 2012), International Machine Learning Society, Madison, WI, USA, 313-320.
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Last updated: Wednesday, 07.12.2011