Grimm, Dominik
easyGWAS: An Integrated Computational Framework for Advanced Genome-Wide Association Studies
Eberhard Karls Universität Tübingen, November 2015 (phdthesis)
Sgouritsa, E.
Causal Discovery Beyond Conditional Independences
Eberhard Karls Universität Tübingen, Germany, October 2015 (phdthesis)
Besserve, M.
Causal Inference for Empirical Time Series Based on the Postulate of Independence of Cause and Mechanism
53rd Annual Allerton Conference on Communication, Control, and Computing, September 2015 (talk)
Muandet, K.
From Points to Probability Measures: A Statistical Learning on Distributions with Kernel Mean Embedding
University of Tübingen, Germany, University of Tübingen, Germany, September 2015 (phdthesis)
Schuler, C.
Machine Learning Approaches to Image Deconvolution
University of Tübingen, Germany, University of Tübingen, Germany, September 2015 (phdthesis)
Loktyushin, A.
Blind Retrospective Motion Correction of MR Images
University of Tübingen, Germany, May 2015 (phdthesis)
Besserve, M.
Independence of cause and mechanism in brain networks
DALI workshop on Networks: Processes and Causality, April 2015 (talk)
Chaves, R., Majenz, C., Luft, L., Maciel, T., Janzing, D., Schölkopf, B., Gross, D.
Information-Theoretic Implications of Classical and Quantum Causal Structures
18th Conference on Quantum Information Processing (QIP), 2015 (talk)
Castaneda, S. G., Katiyar, P., Russo, F., Disselhorst, J. A., Calaminus, C., Poli, S., Maurer, A., Ziemann, U., Pichler, B. J.
Assessment of brain tissue damage in the Sub-Acute Stroke Region by Multiparametric Imaging using [89-Zr]-Desferal-EPO-PET/MRI
World Molecular Imaging Conference, 2015 (talk)
Hohmann, M.
A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2015 (mastersthesis)
Divine, M. R., Harant, M., Katiyar, P., Disselhorst, J. A., Bukala, D., Aidone, S., Siegemund, M., Pfizenmaier, K., Kontermann, R., Pichler, B. J.
Early time point in vivo PET/MR is a promising biomarker for determining efficacy of a novel Db(\alphaEGFR)-scTRAIL fusion protein therapy in a colon cancer model
World Molecular Imaging Conference, 2015 (talk)
Gao, M.
Sequential Image Deconvolution Using Probabilistic Linear Algebra
Technical University of Munich, Germany, 2015 (mastersthesis)
Casarsa de Azevedo, L.
Causal Inference in Neuroimaging
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2015 (mastersthesis)
Ibarra Chaoul, A.
The effect of frowning on attention
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2015 (mastersthesis)
Foreman-Mackey, D., Hogg, D. W., Schölkopf, B.
The search for single exoplanet transits in the Kepler light curves
IAU General Assembly, 22, pages: 2258352, 2015 (talk)
Hill, NJ.
Machine Learning for Brain-Computer Interfaces
Mini-Symposia on Assistive Machine Learning for People with Disabilities at NIPS (AMD), December 2009 (talk)
Seldin, Y.
PAC-Bayesian Approach to Formulation of Clustering Objectives
NIPS Workshop on "Clustering: Science or Art? Towards Principled Approaches", December 2009 (talk)
Shelton, JA.
Semi-supervised Kernel Canonical Correlation Analysis of Human Functional Magnetic Resonance Imaging Data
Women in Machine Learning Workshop (WiML), December 2009 (talk)
Hill, NJ.
Event-Related Potentials in Brain-Computer Interfacing
Invited lecture on the bachelor & masters course "Introduction to Brain-Computer Interfacing", October 2009 (talk)
Hill, NJ.
BCI2000 and Python
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)
Hill, NJ., Mellinger, J.
Implementing a Signal Processing Filter in BCI2000 Using C++
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)
Gehler, PV.
Kernel Learning Approaches for Image Classification
Biologische Kybernetik, Universität des Saarlandes, Saarbrücken, Germany, October 2009 (phdthesis)
Seldin, Y.
A PAC-Bayesian Approach to Structure Learning
Biologische Kybernetik, The Hebrew University of Jerusalem, Israel, September 2009 (phdthesis)
Davies, P., Langovoy, M., Wittich, O.
Randomized algorithms for statistical image analysis based on percolation theory
27th European Meeting of Statisticians (EMS), July 2009 (talk)
Kober, J., Peters, J., Oztop, E.
Learning Motor Primitives for Robotics
Advanced Telecommunications Research Center ATR, June 2009 (talk)
Lampert, C.
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2009 (talk)
Blaschko, MB.
Kernel Methods in Computer Vision:Object Localization, Clustering,and Taxonomy Discovery
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2009 (phdthesis)
Mülling, K.
Motor Control and Learning in Table Tennis
Eberhard Karls Universität Tübingen, Gerrmany, 2009 (diplomathesis)
Drewe, P.
Hierarchical Clustering and Density Estimation Based on k-nearest-neighbor graphs
Eberhard Karls Universität Tübingen, Germany, 2009 (diplomathesis)
Nowozin, S.
Learning with Structured Data: Applications to Computer Vision
Technische Universität Berlin, Germany, 2009 (phdthesis)
Steinke, F.
From Differential Equations to Differential Geometry: Aspects of Regularisation in Machine Learning
Universität des Saarlandes, Saarbrücken, Germany, 2009 (phdthesis)
Zhou, D.
Spectral clustering and transductive inference for graph data
NIPS Workshop on Kernel Methods and Structured Domains, December 2005 (talk)
Chapelle, O.
Some thoughts about Gaussian Processes
NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)
Chapelle, O.
A taxonomy of semi-supervised learning algorithms
Yahoo!, December 2005 (talk)
BakIr, G.
Extension to Kernel Dependency Estimation with Applications to Robotics
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)
Hein, M.
Geometrical aspects of statistical learning theory
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)
Steinke, F.
Implicit Surfaces For Modelling
Human Heads
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)
Lal, TN.
Machine Learning Methods for Brain-Computer Interdaces
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)
Wu, M., Schölkopf, B., BakIr, G.
Building Sparse Large Margin Classifiers
The 22nd International Conference on Machine Learning (ICML), August 2005 (talk)
Zhou, D.
Learning from Labeled and Unlabeled Data on a Directed Graph
The 22nd International Conference on Machine Learning, August 2005 (talk)
Nowozin, S.
Liver Perfusion using Level Set Methods
Biologische Kybernetik, Shanghai JiaoTong University, Shanghai, China, July 2005 (diplomathesis)
Bensch, M., Bogdan, M., Hill, N., Lal, T., Rosenstiel, W., Schölkopf, B., Schröder, M.
Machine-Learning Approaches to BCI in Tübingen
Brain-Computer Interface Technology, June 2005, Talk given by NJH. (talk)
Peters, J., Schaal, S.
Learning Motor Primitives with Reinforcement Learning
ROBOTICS Workshop on Modular Foundations for Control and Perception, June 2005 (talk)
Altun, Y.
Discriminative Methods for Label Sequence Learning
Brown University, Providence, RI, USA, May 2005 (phdthesis)
Tanner, TG.
Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain
Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 (diplomathesis)
Blaschko, MB.
Support Vector Classification of Images with Local Features
Biologische Kybernetik, University of Massachusetts, Amherst, May 2005 (diplomathesis)
Peters, J.
Motor Skill Learning for Humanoid Robots
First Conference Undergraduate Computer Sciences and Informations Sciences (CS/IS), May 2005 (talk)
Shin, H.
Efficient Pattern Selection for Support Vector Classifiers and its CRM Application
Biologische Kybernetik, Seoul National University, Seoul, Korea, February 2005 (phdthesis)
Gretton, A., Smola, A., Bousquet, O., Herbrich, R., Belitski, A., Augath, M., Murayama, Y., Schölkopf, B., Logothetis, N.
Kernel Constrained Covariance for Dependence Measurement
AISTATS, January 2005 (talk)
Ong, CS.
Kernels: Regularization and Optimization
Biologische Kybernetik, The Australian National University, Canberra, Australia, 2005 (phdthesis)