Aghaeifar, A., Loktyushin, A., Eschelbach, M., Scheffler, K.
Improving performance of linear field generation with multi-coil setup by optimizing coils position
Magnetic Resonance Materials in Physics, Biology and Medicine, 30(Supplement 1):S259, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), October 2017 (poster)
Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K.
Estimating B0 inhomogeneities with projection FID navigator readouts
25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)
Feng, X., Loktyushin, A., Deistung, A., Reichenbach, J.
Image Quality Improvement by Applying Retrospective Motion Correction on Quantitative Susceptibility Mapping and R2*
25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)
Peters, J., Lee, D., Kober, J., Nguyen-Tuong, D., Bagnell, J., Schaal, S.
Robot Learning
In Springer Handbook of Robotics, pages: 357-394, 15, 2nd, (Editors: Siciliano, Bruno and Khatib, Oussama), Springer International Publishing, 2017 (inbook)
Peters, J., Bagnell, J.
Policy Gradient Methods
In Encyclopedia of Machine Learning and Data Mining, pages: 982-985, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)
Flad, N., Fomina, T., Bülthoff, H. H., Chuang, L. L.
Unsupervised clustering of EOG as a viable substitute for optical eye-tracking
In First Workshop on Eye Tracking and Visualization (ETVIS 2015), pages: 151-167, Mathematics and Visualization, (Editors: Burch, M., Chuang, L., Fisher, B., Schmidt, A., and Weiskopf, D.), Springer, 2017 (inbook)
Janzing, D.
Statistical Asymmetries Between Cause and Effect
In Time in Physics, pages: 129-139, Tutorials, Schools, and Workshops in the Mathematical Sciences, (Editors: Renner, Renato and Stupar, Sandra), Springer International Publishing, Cham, 2017 (inbook)
Peters, J., Tedrake, R., Roy, N., Morimoto, J.
Robot Learning
In Encyclopedia of Machine Learning and Data Mining, pages: 1106-1109, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)
Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M.
Generalized phase locking analysis of electrophysiology data
ESI Systems Neuroscience Conference (ESI-SyNC 2017): Principles of Structural and Functional Connectivity, 2017 (poster)
Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K.
Autofocusing-based correction of B0 fluctuation-induced ghosting
24th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2016 (poster)
Katiyar, P., Castaneda, S., Patzwaldt, K., Russo, F., Poli, S., Ziemann, U., Disselhorst, J. A., Pichler, B. J.
Novel Random Forest based framework enables the segmentation of cerebral ischemic regions using multiparametric MRI
European Molecular Imaging Meeting, 2016 (poster)
Logothetis, N. K., Murayama, Y., Ramirez-Villegas, J. F., Besserve, M., Evrard, H.
PGO wave-triggered functional MRI: mapping the networks underlying synaptic consolidation
47th Annual Meeting of the Society for Neuroscience (Neuroscience), 2016 (poster)
Zhang, K., Hyvärinen, A.
Nonlinear functional causal models for distinguishing cause from effect
In Statistics and Causality: Methods for Applied Empirical Research, pages: 185-201, 8, 1st, (Editors: Wolfgang Wiedermann and Alexander von Eye), John Wiley & Sons, Inc., 2016 (inbook)
Hohmann, M., Fomina, T., Jayaram, V., Widmann, N., Förster, C., Just, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
A cognitive brain–computer interface for patients with amyotrophic lateral sclerosis
In Brain-Computer Interfaces: Lab Experiments to Real-World Applications, 228(Supplement C):221-239, 8, Progress in Brain Research, (Editors: Damien Coyle), Elsevier, 2016 (incollection)
Castaneda, S., Katiyar, P., Russo, F., Maurer, A., Patzwaldt, K., Poli, S., Calaminus, C., Disselhorst, J. A., Ziemann, U., Pichler, B. J.
Multiparametric Imaging of Ischemic Stroke using [89Zr]-Desferal-EPO-PET/MRI in combination with Gaussian Mixture Modeling enables unsupervised lesions identification
European Molecular Imaging Meeting, 2016 (poster)
Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M.
Statistical source separation of rhythmic LFP patterns during sharp wave ripples in the macaque hippocampus
47th Annual Meeting of the Society for Neuroscience (Neuroscience), 2016 (poster)
Besserve, M., Logothetis, N. K.
Hippocampal neural events predict ongoing brain-wide BOLD activity
47th Annual Meeting of the Society for Neuroscience (Neuroscience), 2016 (poster)
Shelton, J., Blaschko, M., Gretton, A., Müller, J., Fischer, E., Bartels, A.
Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI
NIPS Workshop on Learning and Planning from Batch Time Series Data, December 2010 (poster)
Walder, C., Breidt, M., Bülthoff, H., Schölkopf, B., Curio, C.
Markerless tracking of Dynamic 3D Scans of Faces
In Dynamic Faces: Insights from Experiments and Computation, pages: 255-276, (Editors: Curio, C., Bülthoff, H. H. and Giese, M. A.), MIT Press, Cambridge, MA, USA, December 2010 (inbook)
Peters, J., Bagnell, J.
Policy Gradient Methods
In Encyclopedia of Machine Learning, pages: 774-776, (Editors: Sammut, C. and Webb, G. I.), Springer, Berlin, Germany, December 2010 (inbook)
Shelton, JA., Blaschko, MB., Bartels, A.
Augmentation of fMRI Data Analysis using Resting State Activity and Semi-supervised Canonical Correlation Analysis
NIPS Women in Machine Learning Workshop (WiML), December 2010 (poster)
Besserve, M., Murayama, Y., Schölkopf, B., Logothetis, N., Panzeri, S.
High frequency phase-spike synchronization of extracellular signals modulates causal interactions in monkey primary visual cortex
40(616.2), 40th Annual Meeting of the Society for Neuroscience (Neuroscience), November 2010 (poster)
Bezrukov, I., Hofmann, M., Aschoff, P., Beyer, T., Mantlik, F., Pichler, B., Schölkopf, B.
Attenuation Correction for Whole Body PET/MR: Quantitative Evaluation and Lung Attenuation Estimation with Consistency Information
2010(M13-122), 2010 Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC), November 2010 (poster)
Kolb, A., Hofmann, M., Sauter, A., Liu, C., Schölkopf, B., Pichler, B.
PET/MRI: Observation of Non-Isotropic Positron Distribution in High Magnetic Fields and Its Diagnostic Impact
2010 Nuclear Science Symposium and Medical Imaging Conference, 2010(M18-119):1, November 2010 (poster)
Hooge, J.
Probabilistic Assignment of Chemical Shift Data for Semi-Automatic Amino Acid Recognition
11(10):30, 11th Conference of Junior Neuroscientists of T{\"u}bingen (NeNa), October 2010 (poster)
Kroemer, O., Detry, R., Piater, J., Peters, J.
Generalizing Demonstrated Actions in Manipulation Tasks
IROS 2010 Workshop on Grasp Planning and Task Learning by Imitation, 2010, pages: 1, October 2010 (poster)
Kolb, A., Hofmann, M., Sauter, A., Liu, C., Eriksson, L., Pichler, B.
Inhomogeneous Positron Range Effects in High Magnetic Fields might Cause Severe Artefacts in PET/MRI
(0305B), 2010 World Molecular Imaging Congress (WMIC), September 2010 (poster)
Peters, J., Mülling, K., Altun, Y.
Reinforcement Learning by Relative Entropy Policy Search
30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010), 30, pages: 69, July 2010 (poster)
Erkan, A., Altun, Y.
A Maximum Entropy Approach to Semi-supervised Learning
30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010), 30, pages: 80, July 2010 (poster)
Mantlik, F., Hofmann, M., Kupferschläger, J., Werner, M., Pichler, B., Beyer, T.
The effect of positioning aids on PET quantification following MR-based attenuation correction (AC) in PET/MR imaging
Journal of Nuclear Medicine, 51(Supplement 2):1418 , June 2010 (poster)
Alamgir, M., Grosse-Wentrup, M., Altun, Y.
Multi-task Learning for Zero Training Brain-Computer Interfaces
4th International BCI Meeting, June 2010 (poster)
Grosse-Wentrup, M., Hill, J., Schölkopf, B.
Causal Influence of Gamma Oscillations on Performance in Brain-Computer Interfaces
4th International BCI Meeting0, June 2010 (poster)
Sra, S.
Solving large-scale nonnegative least-squares
16th Conference of the International Linear Algebra Society (ILAS 2010), 16, pages: 19, June 2010, based on Joint work with Dongmin Kim and Inderjit Dhillon (poster)
Sauter, A., Horger, M., Boss, A., Kolb, A., Mantlik, F., Kanz, L., Pfannenberg, C., Stegger, L., Claussen, C., Pichler, B.
Simultaneous PET/MRI for the evaluation of hemato-oncological diseases with lower extremity manifestations
Journal of Nuclear Medicine, 51(Supplement 2):1001 , June 2010 (poster)
Sra, S., Kim, D., Dhillon, I.
Solving large-scale nonnegative least squares using an adaptive non-monotonic method
24th European Conference on Operational Research (EURO 2010), 24, pages: 223, April 2010 (poster)
Kim, D., Sra, S., Dhillon, I.
Sparse regression via a trust-region proximal method
24th European Conference on Operational Research (EURO 2010), 24, pages: 278, April 2010 (poster)
Seldin, Y., Tishby, N.
PAC-Bayesian Bounds for Discrete Density Estimation and Co-clustering Analysis
Workshop "Foundations and New Trends of PAC Bayesian Learning", 2010, March 2010 (poster)
Detry, R., Baseski, E., Popovic, M., Touati, Y., Krüger, N., Kroemer, O., Peters, J., Piater, J.
Learning Continuous Grasp Affordances by Sensorimotor Exploration
In From Motor Learning to Interaction Learning in Robots, pages: 451-465, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 (inbook)
Kober, J., Mohler, B., Peters, J.
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling
In From Motor Learning to Interaction Learning in Robots, pages: 209-225, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 (inbook)
Sigaud, O., Peters, J.
From Motor Learning to Interaction Learning in Robots
In From Motor Learning to Interaction Learning in Robots, pages: 1-12, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 (inbook)
Nguyen-Tuong, D., Seeger, M., Peters, J.
Real-Time Local GP Model Learning
In From Motor Learning to Interaction Learning in Robots, 264, pages: 193-207, Studies in Computational Intelligence, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 (inbook)
Charpiat, G., Bezrukov, I., Hofmann, M., Altun, Y., Schölkopf, B.
Machine Learning Methods for Automatic Image Colorization
In Computational Photography: Methods and Applications, pages: 395-418, Digital Imaging and Computer Vision, (Editors: Lukac, R.), CRC Press, Boca Raton, FL, USA, 2010 (inbook)
Boularias, A., Chinaei, H., Chaib-Draa, B.
Learning the Reward Model of Dialogue POMDPs
NIPS Workshop on Machine Learning for Assistive Technology (MLAT-2010), 2010 (poster)
Bruzzone, L., Persello, C.
Approaches Based on Support Vector Machine to Classification of Remote Sensing Data
In Handbook of Pattern Recognition and Computer Vision, pages: 329-352, (Editors: Chen, C.H.), ICP, London, UK, 2010 (inbook)
Sauter, A., Boss, A., Kolb, A., Mantlik, F., Bethge, W., Kanz, L., Pfannenberg, C., Stegger, L., Pichler, B., Claussen, C., Horger, M.
Erste Erfahrungen bei der Beurteilung hämato-onkologischer Krankheitsmanifestationen an den Extremitäten mit einem PET/MRT-Hybridsystem.
Thieme Verlag, Stuttgart, Germany, 91. Deutscher R{\"o}ntgenkongress, 2010 (poster)
Peters, J., Vijayakumar, S., Schaal, S.
Natural Actor-Critic
NIPS Workshop " Planning for the Real World: The promises and challenges of dealing with uncertainty", December 2003 (poster)
Rosas, P., Wichmann, F., Ernst, M., Wagemans, J.
Texture and haptic cues in slant discrimination: Measuring the effect of texture type on cue combination
Journal of Vision, 3(12):26, 2003 Fall Vision Meeting of the Optical Society of America, December 2003 (poster)
Csato, L.
Sparse Gaussian Process Tooblox - Demonstration
16, December 2003 (poster)
Mohajerian, P., Peters, J., Ijspeert, A., Schaal, S.
A unifying computational framework for optimization and dynamic systemsapproaches to motor control
10th Joint Symposium on Neural Computation (JSNC 2003), 10, pages: 1, May 2003 (poster)
Mohajerian, P., Peters, J., Ijspeert, A., Schaal, S.
A Unifying Computational Framework for Optimization and Dynamic Systems Approaches to Motor Control
13th Annual Neural Control of Movement Meeting 2003, 13, pages: 1, April 2003 (poster)