ei
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)
ei
Seith, F., Gatidis, S., Schmidt, H., Bezrukov, I., la Fougère, C., Nikolaou, K., Pfannenberg, C., Schwenzer, N.
Comparison of Positron Emission Tomography Quantification Using Magnetic Resonance–and Computed Tomography–Based Attenuation Correction in Physiological Tissues and Lesions: A Whole-Body Positron Emission Tomography/Magnetic Resonance Study in 66 Patients
Investigative Radiology, 51(1):66-71, 2016 (article)
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Yeo, S. Y., Romero, J., Loper, M., Machann, J., Black, M.
Shape estimation of subcutaneous adipose tissue using an articulated statistical shape model
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 0(0):1-8, 2016 (article)
ei
Gomez Rodriguez, M., Song, L., Daneshmand, H., Schölkopf, B.
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm
Journal of Machine Learning Research, 17(90):1-29, 2016 (article)
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Mescheder, L., Nowozin, S., Geiger, A.
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring
Arxiv, 2016 (article)
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Schütt, H. H., Harmeling, S., Macke, J. H., Wichmann, F. A.
Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data
Vision Research, 122, pages: 105-123, 2016 (article)
ei
Grosse-Wentrup, M., Janzing, D., Siegel, M., Schölkopf, B.
Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach
NeuroImage, 125, pages: 825-833, 2016 (article)
ei
Köhler, R.
Advances in computational imaging: Benchmarking Deblurring Algorithms, Deep Neural Inpainting, Depth Estimation from Light Fields
Eberhard Karls Universität Tübingen, Germany, 2016 (phdthesis)
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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)
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Daniel, C., Neumann, G., Kroemer, O., Peters, J.
Hierarchical Relative Entropy Policy Search
Journal of Machine Learning Research, 17(93):1-50, 2016 (article)
ei
Kiefel, M.
Tractable Structured Prediction using the Permutohedral Lattice
ETH Zurich, 2016 (phdthesis)
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Puidokait, M., Graefe, J., Sehl, A., Steinke, K., Siehl, H., Zeller, K., Sicker, D., Berger, S.
γ‐Conicein und Coniin aus Geflecktem Schierling
Chemie in unserer Zeit, 50(6):382-391, 2016 (article)
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Muandet, K., Sriperumbudur, B., Fukumizu, K., Gretton, A., Schölkopf, B.
Kernel Mean Shrinkage Estimators
Journal of Machine Learning Research, 17(48):1-41, 2016 (article)
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Schuler, C. J., Hirsch, M., Harmeling, S., Schölkopf, B.
Learning to Deblur
IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7):1439-1451, IEEE, 2016 (article)
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Jayaram, V., Alamgir, M., Altun, Y., Schölkopf, B., Grosse-Wentrup, M.
Transfer Learning in Brain-Computer Interfaces
IEEE Computational Intelligence Magazine, 11(1):20-31, 2016 (article)
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Weichwald, S., Grosse-Wentrup, M., Gretton, A.
MERLiN: Mixture Effect Recovery in Linear Networks
IEEE Journal of Selected Topics in Signal Processing, 10(7):1254-1266, 2016 (article)
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Peters, J., Bühlmann, P., Meinshausen, N.
Causal inference using invariant prediction: identification and confidence intervals
Journal of the Royal Statistical Society, Series B (Statistical Methodology), 78(5):947-1012, 2016, (with discussion) (article)
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Spirtes, P., Zhang, K.
Causal discovery and inference: concepts and recent methodological advances
Applied Informatics, 3(3):1-28, 2016 (article)
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Fomina, T., Lohmann, G., Erb, M., Ethofer, T., Schölkopf, B., Grosse-Wentrup, M.
Self-regulation of brain rhythms in the precuneus: a novel BCI paradigm for patients with ALS
Journal of Neural Engineering, 13(6):066021, 2016 (article)
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Gomez-Rodriguez, M., Song, L., Du, N., Zha, H., Schölkopf, B.
Influence Estimation and Maximization in Continuous-Time Diffusion Networks
ACM Transactions on Information Systems, 34(2):9:1-9:33, 2016 (article)
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Ting, J., Meier, F., Vijayakumar, S., Schaal, S.
Locally Weighted Regression for Control
In Encyclopedia of Machine Learning and Data Mining, pages: 1-14, Springer US, Boston, MA, 2016 (inbook)
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Foreman-Mackey, D., Morton, T. D., Hogg, D. W., Agol, E., Schölkopf, B.
The population of long-period transiting exoplanets
The Astronomical Journal, 152(6):206, 2016 (article)
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Laidig, D., Trimpe, S., Seel, T.
Event-based Sampling for Reducing Communication Load in Realtime Human Motion Analysis by Wireless Inertial Sensor Networks
Current Directions in Biomedical Engineering, 2(1):711-714, De Gruyter, 2016 (article)
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Jäkel, F., Singh, M., Wichmann, F. A., Herzog, M. H.
An overview of quantitative approaches in Gestalt perception
Vision Research, 126, pages: 3-8, 2016 (article)
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Huang, H., Peloso, G. M., Howrigan, D., Rakitsch, B., Simon-Gabriel, C. J., Goldstein, J. I., Daly, M. J., Borgwardt, K., Neale, B. M.
Bootstrat: Population Informed Bootstrapping for Rare Variant Tests
bioRxiv, 2016, preprint (article)
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Rueckert, E., Camernik, J., Peters, J., Babic, J.
Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control
Nature PG: Scientific Reports, 6(Article number: 28455), 2016 (article)
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Mooij, J., Peters, J., Janzing, D., Zscheischler, J., Schölkopf, B.
Distinguishing cause from effect using observational data: methods and benchmarks
Journal of Machine Learning Research, 17(32):1-102, 2016 (article)
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Babbar, R., Partalas, I., Gaussier, E., Amini, M., Amblard, C.
Learning Taxonomy Adaptation in Large-scale Classification
Journal of Machine Learning Research, 17(98):1-37, 2016 (article)
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Feix, T., Romero, J., Schmiedmayer, H., Dollar, A., Kragic, D.
The GRASP Taxonomy of Human Grasp Types
Human-Machine Systems, IEEE Transactions on, 46(1):66-77, 2016 (article)
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Janzing, D., Chaves, R., Schölkopf, B.
Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference
New Journal of Phyiscs, 18(9):093052, 2016 (article)
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Mohr, J., Seyfarth, J., Lueschow, A., Weber, J. E., Wichmann, F. A., Obermayer, K.
BOiS—Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual Priors
Frontiers in Psychology, 2016 (article)
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Zhang, K., Li, J., Bareinboim, E., Schölkopf, B., Pearl, J.
Preface to the ACM TIST Special Issue on Causal Discovery and Inference
ACM Transactions on Intelligent Systems and Technologies, 7(2):article no. 17, 2016 (article)
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Brubaker, M. A., Geiger, A., Urtasun, R.
Map-Based Probabilistic Visual Self-Localization
IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2016 (article)
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Rueckert, E., Kappel, D., Tanneberg, D., Pecevski, D., Peters, J.
Recurrent Spiking Networks Solve Planning Tasks
Nature PG: Scientific Reports, 6(Article number: 21142), 2016 (article)
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Herzog, A., Rotella, N., Mason, S., Grimminger, F., Schaal, S., Righetti, L.
Momentum Control with Hierarchical Inverse Dynamics on a Torque-Controlled Humanoid
Autonomous Robots, 40(3):473-491, 2016 (article)
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Müller, B. Y., Haag, M., Fähnle, M.
Ab initio theory for ultrafast magnetization dynamics with a dynamic band structure
{Journal of Magnetism and Magnetic Materials}, 414, pages: 14-18, North-Holland, Amsterdam, 2016 (article)
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Ruoß, S., Stahl, C., Bayer, J., Schütz, G., Albrecht, J., Laviano, F.
High-resolution analysis of currents at low-angle grain boundaries in YBCO thin films using magnetooptics and magnetic x-ray microscopy
{IEEE Transactions on Applied Superconductivity}, 26(3), IEEE, New York, NY, 2016 (article)
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Haag, M.
Untersuchung des Beitrages von Elektron-Magnon Streuungen zur ultraschnellen Entmagnetisierung nach Femtosekunden Laserbestrahlung ferromagnetischer Filme
Universität Stuttgart, Stuttgart, 2016 (phdthesis)
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Noske, M., Stoll, H., Fähnle, M., Gangwar, A., Woltersdorf, G., Slavin, A., Weigand, M., Dieterle, G., Förster, J., Back, C. H., Schütz, G.
Three-dimensional character of the magnetization dynamics in magnetic vortex structures: Hybridization of flexure gyromodes with spin waves
{Physical Review Letters}, 117(3), American Physical Society, Woodbury, N.Y., 2016 (article)
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Gräfe, J., Schütz, G., Goering, E. J.
Coercivity scaling in antidot lattices in Fe, Ni, and NiFe thin films
{Journal of Magnetism and Magnetic Materials}, 419, pages: 517-520, North-Holland, Amsterdam, 2016 (article)
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Callini, E., Aguey-Zinsou, K., Ahuja, R., Ares, J. R., Bals, S., Biliskov, N., Chakraborty, S., Charalambopoulou, G., Chaudhary, A., Cuevas, F., Dam, B., de Jongh, P., Dornheim, M., Filinchuk, Y., Grbovic-Novakovic, J., Hirscher, M., Jensen, T. R., Jensen, P. B., Novakovic, N., Lai, Q., Leardini, F., Gattia, D. M., Pasquini, L., Steriotis, T., Turner, S., Vegge, T., Züttel, A., Montone, A.
Nanostructured materials for solid-state hydrogen storage: A review of the achievement of COST Action MP1103
{International Journal of Hydrogen Energy}, 41(32):14404-14428, Elsevier, Amsterdam, 2016 (article)
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Stahl, C., Ruoß, S., Weigand, M., Bechtel, M., Schütz, G., Albrecht, J.
Magnetic X-ray microscopy at low temperatures - Visualization of flux distributions in superconductors
{AIP Conference Proceedings}, 1696, AIP Publishing, Melville, NY, 2016 (article)
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Bisig, A., Akosa, C. A., Moon, J., Rhensius, J., Moutafis, C., von Bieren, A., Heidler, J., Kiliani, G., Kammerer, M., Curcic, M., Weigand, M., Tyliszczak, T., Van Waeyenberge, B., Stoll, H., Schütz, G., Lee, K., Manchon, A., Kläui, M.
Enhanced non-adiabaticity in vortex cores due to the emergent Hall effect
{Physical Review Letters}, 117(27), American Physical Society, Woodbury, N.Y., 2016 (article)
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Albrecht, J., Brück, S., Stahl, C., Ruoß, S.
Quantitative magneto-optical analysis of the role of finite temperatures on the critical state in YBCO thin films
{Superconductor Science and Technology}, 29(11), IOP Pub., Bristol, 2016 (article)
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Vitiello, Nicola, Ijspeert, Auke J, Schaal, S.
Bioinspired Motor Control for Articulated Robots [From the Guest Editors]
IEEE Robotics {\&} Automation Magazine, 23(1):20-21, 2016 (article)
ei
Genewein, T, Braun, DA
Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations
Biological Cybernetics, 110(2):135–150, June 2016 (article)
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Gräfe, J.
Statische und dynamische Magnetisierungseigenschaften nanoskaliger Überstrukturen
Universität Stuttgart, Stuttgart (und Cuvillier Verlag, Göttingen), 2016 (phdthesis)
mms
Audehm, P.
Gepinnte Bahnmomente in magnetischen Heterostrukturen
Universität Stuttgart, Stuttgart (und Cuvillier Verlag, Göttingen), 2016 (phdthesis)
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Hänze, M., Adolff, C. F., Schulte, B., Möller, J., Weigand, M., Meier, G.
Collective modes in three-dimensional magnonic vortex crystals
{Scientific Reports}, 6, Nature Publishing Group, London, UK, 2016 (article)
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Noske, M., Stoll, H., Fähnle, M., Gangwar, A., Woltersdorf, G., Slavin, A., Weigand, M., Dieterle, G., Förster, J., Back, C. H., Schütz, G.
Spin wave mediated unidirectional vortex core reversal by two orthogonal monopolar field pulses: The essential role of three-dimensional magnetization dynamics
{Journal of Applied Physics}, 119(17), AIP Publishing, New York, NY, 2016 (article)