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)
Abbott, T., Abdalla, F. B., Allam, S., Amara, A., Annis, J., Armstrong, R., Bacon, D., Banerji, M., Bauer, A. H., Baxter, E., others,
Cosmology from Cosmic Shear with DES Science Verification Data
arXiv preprint arXiv:1507.05552, 2015 (techreport)
Jarvis, M., Sheldon, E., Zuntz, J., Kacprzak, T., Bridle, S. L., Amara, A., Armstrong, R., Becker, M. R., Bernstein, G. M., Bonnett, C., others,
The DES Science Verification Weak Lensing Shear Catalogs
arXiv preprint arXiv:1507.05603, 2015 (techreport)
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)
Rakitsch, Barbara
Modeling the polygenic architecture of complex traits
Eberhard Karls Universität Tübingen, November 2014 (phdthesis)
Besserve, M., Schölkopf, B., Logothetis, N. K.
Unsupervised identification of neural events in local field potentials
44th Annual Meeting of the Society for Neuroscience (Neuroscience), 2014 (talk)
Shajarisales, N.
A Novel Causal Inference Method for Time Series
Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 (mastersthesis)
Besserve, M.
Quantifying statistical dependency
Research Network on Learning Systems Summer School, 2014 (talk)
Zscheischler, J.
A global analysis of extreme events and consequences for the terrestrial carbon cycle
Diss. No. 22043, ETH Zurich, Switzerland, ETH Zurich, Switzerland, 2014 (phdthesis)
Schmeißer, N.
Development of advanced methods for improving astronomical images
Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 (diplomathesis)
Lacosse, E.
The Feasibility of Causal Discovery in Complex Systems: An Examination of Climate Change Attribution and Detection
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2014 (mastersthesis)
Huang, B.
Causal Discovery in the Presence of Time-Dependent Relations or Small Sample Size
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2014 (mastersthesis)
Divine, M. R., Disselhorst, J. A., Katiyar, P., Pichler, B. J.
Using a population based Gaussian Mixture Model on fused [18]F-FDG PET and DW-MRI images accurately segments the tumor microenvironment into clinically relevant compartments capable of guiding therapy
European Molecular Imaging Meeting, 2014 (talk)
Janzing, D.
Causal Inference from Passive Observations
24th Summer School University of Jyväskylā, Finland, August, 2014 (talk)
Alamgir, M.
Analysis of Distance Functions in Graphs
University of Hamburg, Germany, University of Hamburg, Germany, 2014 (phdthesis)
Schober, M.
Camera-specific Image Denoising
Eberhard Karls Universität Tübingen, Germany, October 2013 (diplomathesis)
Logothetis, N., Eschenko, O., Murayama, Y., Augath, M., Steudel, T., Evrard, H., Besserve, M., Oeltermann, A.
Studying large-scale brain networks: electrical stimulation and neural-event-triggered fMRI
Twenty-Second Annual Computational Neuroscience Meeting (CNS*2013), July 2013, journal = {BMC Neuroscience},
year = {2013},
month = {7},
volume = {14},
number = {Supplement 1},
pages = {A1}, (talk)
Burger, HC.
Modelling and Learning Approaches to Image Denoising
Eberhard Karls Universität Tübingen, Germany, 2013 (phdthesis)
Mantlik, F., Bezrukov, I., Hofmann, M., Schölkopf, B., Pichler, B.
MR-Based Attenuation Correction for Combined Brain PET/MR: Robustness of Atlas- and Pattern Recognition Method to Atlas Registration Failures
IEEE Nuclear Science Symposium and Medical Imaging Conference (IEEE MIC), 2013 (talk)
Hennig, P.
Animating Samples from Gaussian Distributions
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)
Muandet, K.
Domain Generalization via Invariant Feature Representation
30th International Conference on Machine Learning (ICML2013), 2013 (talk)
Lippert, C.
Linear mixed models for genome-wide association studies
University of Tübingen, Germany, 2013 (phdthesis)
Hogg, D. W., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Lang, D., Montet, B. T., Schiminovich, D., Schölkopf, B.
Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era
arXiv:1309.0653, 2013 (techreport)
Montet, B. T., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Hogg, D. W., Lang, D., Schiminovich, D., Schölkopf, B.
Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars
arXiv:1309.0654, 2013 (techreport)
Mülling, K.
Modeling and Learning Complex Motor Tasks: A case study on Robot Table Tennis
Technical University Darmstadt, Germany, 2013 (phdthesis)
Wang, Z.
Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models
Technical University Darmstadt, Germany, 2013 (phdthesis)
Muandet, K.
Support Vector Machines, Support Measure Machines, and Quasar Target Selection
Center for Cosmology and Particle Physics (CCPP), New York University, December 2012 (talk)
Muandet, K.
Hilbert Space Embedding for Dirichlet Process Mixtures
NIPS Workshop on Confluence between Kernel Methods and Graphical Models, December 2012 (talk)
Shervashidze, N.
Scalable graph kernels
Eberhard Karls Universität Tübingen, Germany, October 2012 (phdthesis)
Zwießele, M.
Probabilistic Modelling of Expression Variation in Modern eQTL Studies
Eberhard Karls Universität Tübingen, Germany, October 2012 (mastersthesis)
Wehrl, H., Lankes, K., Hossain, M., Bezrukov, I., Liu, C., Martirosian, P., Schick, F., Pichler, B.
Simultaneous small animal PET/MR in activated and resting state reveals multiple brain networks
20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)
Wehrl, H., Lankes, K., Hossain, M., Bezrukov, I., Liu, C., Martirosian, P., Reischl, G., Schick, F., Pichler, B.
A new PET insert for simultaneous PET/MR small animal imaging
20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)
Hossain, M., Wehrl, H., Lankes, K., Liu, C., Bezrukov, I., Reischl, G., Pichler, B.
Evaluation of a new, large field of view, small animal PET/MR system
50. Jahrestagung der Deutschen Gesellschaft fuer Nuklearmedizin (NuklearMedizin), April 2012 (talk)
Kober, J.
Learning Motor Skills: From Algorithms to Robot Experiments
Technische Universität Darmstadt, Germany, March 2012 (phdthesis)
Grosse-Wentrup, M., Schölkopf, B.
High Gamma-Power Predicts Performance in Brain-Computer Interfacing
(3), Max-Planck-Institut für Intelligente Systeme, Tübingen, February 2012 (techreport)