Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M.
Diversity of sharp wave-ripples in the CA1 of the macaque hippocampus and their brain wide signatures
45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), October 2015 (poster)
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)
Loktyushin, A., Babayeva, M., Gallichan, D., Krueger, G., Scheffler, K., Kober, T.
Retrospective rigid motion correction of undersampled MRI data
23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, ISMRM, June 2015 (poster)
Feng, X., Loktyushin, A., Deistung, A., Reichenbach, J. R.
Improving Quantitative Susceptibility and R2* Mapping by Applying Retrospective Motion Correction
23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, ISMRM, June 2015 (poster)
Besserve, M.
Independence of cause and mechanism in brain networks
DALI workshop on Networks: Processes and Causality, April 2015 (talk)
Foreman-Mackey, D., Hogg, D., Schölkopf, B., Wang, D.
Increasing the sensitivity of Kepler to Earth-like exoplanets
Workshop: 225th American Astronomical Society Meeting 2015 , pages: 105.01D, 2015 (poster)
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)
Wang, D., Foreman-Mackey, D., Hogg, D., Schölkopf, B.
Calibrating the pixel-level Kepler imaging data with a causal data-driven model
Workshop: 225th American Astronomical Society Meeting 2015 , pages: 258.08, 2015 (poster)
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)
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)
Katiyar, P., Divine, M. R., Pichler, B. J., Disselhorst, J. A.
Assessment of tumor heterogeneity using unsupervised graph based clustering of multi-modality imaging data
European Molecular Imaging Meeting, 2015 (poster)
Katiyar, P., Divine, M. R., Pichler, B. J., Disselhorst, J. A.
Novel segmentation of dynamic [18]F-FDG PET bypasses the need of arterial plasma input function, delivering a robust quantification of the tumor microenvironment
World Molecular Imaging Conference, 2015 (poster)
Köhler, R., Schölkopf, B., Hirsch, M.
Disparity estimation from a generative light field model
IEEE International Conference on Computer Vision (ICCV 2015), Workshop on Inverse Rendering, 2015, Note: This work has been presented as a poster and is not included in the workshop proceedings. (poster)
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)
Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M.
Dynamical source analysis of hippocampal sharp-wave ripple episodes
Bernstein Conference, 2014 (poster)
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)
Besserve, M.
Quantifying statistical dependency
Research Network on Learning Systems Summer School, 2014 (talk)
Babayeva, M., Loktyushin, A., Kober, T., Granziera, C., Nickisch, H., Gruetter, R., Krueger, G.
FID-guided retrospective motion correction based on autofocusing
Joint Annual Meeting ISMRM-ESMRMB, Milano, Italy, 2014 (poster)
Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M.
Cluster analysis of sharp-wave ripple field potential signatures in the macaque hippocampus
Computational and Systems Neuroscience Meeting (COSYNE), 2014 (poster)
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)
Katiyar, P., Divine, M. R., Pichler, B. J., Disselhorst, J. A.
oxel level [18]F-FDG PET/MRI unsupervised segmentation of the tumor microenvironment
World Molecular Imaging Conference, 2014 (poster)
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)
Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M.
Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC
43rd Annual Meeting of the Society for Neuroscience (Neuroscience), 2013 (poster)
Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z.
Gaussian Process Vine Copulas for Multivariate Dependence
International Conference on Machine Learning (ICML), 2013 (poster)
Muandet, K., Balduzzi, D., Schölkopf, B.
Domain Generalization via Invariant Feature Representation
30th International Conference on Machine Learning (ICML2013), 2013 (poster)
Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M.
Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex
Bernstein Conference, 2013 (poster)
Muandet, K., Schölkopf, B.
One-class Support Measure Machines for Group Anomaly Detection
29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013 (poster)
Lopez-Paz, D., Hennig, P., Schölkopf, B.
The Randomized Dependence Coefficient
Neural Information Processing Systems (NIPS), 2013 (poster)
Ramirez-Villegas, J., Logothetis, N., Besserve, M.
Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus
4th German Neurophysiology PhD Meeting Networks, 2013 (poster)
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)
Muandet, K.
Domain Generalization via Invariant Feature Representation
30th International Conference on Machine Learning (ICML2013), 2013 (talk)
Henning, B., Wichmann, F.
Some observations on the pedestal effect or dipper function
Journal of Vision, 6(13):50, 2006 Fall Vision Meeting of the Optical Society of America, December 2006 (poster)
Gretton, A., Borgwardt, K., Rasch, M., Schölkopf, B., Smola, A.
A Kernel Method for the Two-Sample-Problem
20th Annual Conference on Neural Information Processing Systems (NIPS), December 2006 (talk)
Schweikert, G., Zeller, G., Zien, A., Ong, C., de Bona, F., Sonnenburg, S., Phillips, P., Rätsch, G.
Ab-initio gene finding using machine learning
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)
Peters, J.
Reinforcement Learning by Reward-Weighted Regression
NIPS Workshop: Towards a New Reinforcement Learning? , December 2006 (talk)
Saigo, H., Kadowaki, T., Kudo, T., Tsuda, K.
Graph boosting for molecular QSAR analysis
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)
Sun, X., Janzing, D., Schölkopf, B.
Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions
NIPS Workshop on Causality and Feature Selection, December 2006 (talk)
Farquhar, J., Hill, J., Schölkopf, B.
Learning Optimal EEG Features Across Time, Frequency and Space
NIPS Workshop on Current Trends in Brain-Computer Interfacing, December 2006 (talk)
Zien, A.
Semi-Supervised Learning
Advanced Methods in Sequence Analysis Lectures, November 2006 (talk)
Farquhar, J., Hill, N., Schölkopf, B.
Optimizing Spatial Filters for BCI: Margin- and Evidence-Maximization Approaches
Challenging Brain-Computer Interfaces: MAIA Workshop 2006, pages: 1, November 2006 (poster)
Hofmann, M., Steinke, F., Judenhofer, M., Claussen, C., Schölkopf, B., Pichler, B.
A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images
IEEE Medical Imaging Conference, November 2006 (talk)
Zien, A.
Semi-Supervised Support Vector Machines and Application to Spam Filtering
ECML Discovery Challenge Workshop, September 2006 (talk)
Kienzle, W., Wichmann, F., Schölkopf, B., Franz, M.
Learning Eye Movements
Sensory Coding And The Natural Environment, 2006, pages: 1, September 2006 (poster)
Habeck, M.
Inferential Structure Determination: Probabilistic determination and validation of NMR structures
Gordon Research Conference on Computational Aspects of Biomolecular
NMR, September 2006 (talk)
Schweikert, G., Zeller, G., Clark, R., Ossowski, S., Warthmann, N., Shinn, P., Frazer, K., Ecker, J., Huson, D., Weigel, D., Schölkopf, B., Rätsch, G.
Machine Learning Algorithms for Polymorphism Detection
2nd ISCB Student Council Symposium, August 2006 (talk)
Habeck, M.
Inferential structure determination: Overview and new developments
Sixth CCPN Annual Conference: Efficient and Rapid Structure Determination by NMR, July 2006 (talk)
Drewes, J., Wichmann, F., Gegenfurtner, K.
Classification of natural scenes: Critical features revisited
Journal of Vision, 6(6):561, 6th Annual Meeting of the Vision Sciences Society (VSS), June 2006 (poster)