ei Gebhard, T., Kilbertus, N., Harry, I., Schölkopf, B. Convolutional neural networks: A magic bullet for gravitational-wave detection? Physical Review D, 100(6):063015, American Physical Society, September 2019 (article)

link (url) DOI [BibTex]

ei Babbar, R., Schölkopf, B. Data scarcity, robustness and extreme multi-label classification Machine Learning, 108(8):1329-1351, September 2019, Special Issue of the ECML PKDD 2019 Journal Track (article)

DOI [BibTex]

ei Rojas-Carulla, M. Learning Transferable Representations University of Cambridge, UK, 2019 (phdthesis)

[BibTex]

ei Gu, S. Sample-efficient deep reinforcement learning for continuous control University of Cambridge, UK, 2019 (phdthesis)

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ei Aghaeifar, A., Zhou, J., Heule, R., Tabibian, B., Schölkopf, B., Jia, F., Zaitsev, M., Scheffler, K. A 32-channel multi-coil setup optimized for human brain shimming at 9.4T Magnetic Resonance in Medicine, 2019, (Early View) (article)

DOI [BibTex]

ei Stimper, V., Bauer, S., Ernstorfer, R., Schölkopf, B., Xian, R. P. Multidimensional Contrast Limited Adaptive Histogram Equalization IEEE Access, 7, pages: 165437-165447, 2019 (article)

arXiv link (url) DOI [BibTex]

ei Tabibian, B., Upadhyay, U., De, A., Zarezade, A., Schölkopf, B., Gomez Rodriguez, M. Enhancing Human Learning via Spaced Repetition Optimization Proceedings of the National Academy of Sciences, 2019, PNAS published ahead of print January 22, 2019 (article)

DOI Project Page Project Page [BibTex]

ei Ścibior*, A. Formally justified and modular Bayesian inference for probabilistic programs University of Cambridge, UK, 2019 (phdthesis)

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ei Xu, J. Spatial Filtering based on Riemannian Manifold for Brain-Computer Interfacing Technical University of Munich, Germany, 2019 (mastersthesis)

[BibTex]

ei Büchler, D., Calandra, R., Peters, J. Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots 2019 (article) Submitted

Arxiv Video [BibTex]

ei Weichwald, S. Pragmatism and Variable Transformations in Causal Modelling ETH Zurich, 2019 (phdthesis)

[BibTex]

ei Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E., Glymour, C., Kretschmer, M., Mahecha, M., van Nes, E., Peters, J., Quax, R., Reichstein, M., Scheffer, M. S. B., Spirtes, P., Sugihara, G., Sun, J., Zhang, K., Zscheischler, J. Inferring causation from time series with perspectives in Earth system sciences Nature Communications, 2019 (article) In revision

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ei Katiyar, P. Quantification of tumor heterogeneity using PET/MRI and machine learning Eberhard Karls Universität Tübingen, Germany, 2019 (phdthesis)

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ei Gomez-Gonzalez, S., Nemmour, Y., Schölkopf, B., Peters, J. Reliable Real-Time Ball Tracking for Robot Table Tennis Robotics, 8(4):90, 2019 (article)

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ei Bauer, M. Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning University of Cambridge, UK, 2019 (phdthesis)

[BibTex]

pn Bartels, S., Cockayne, J., Ipsen, I. C. F., Hennig, P. Probabilistic Linear Solvers: A Unifying View Statistics and Computing, 2019 (article) Accepted

link (url) [BibTex]

ei Koc, O., Maeda, G., Peters, J. Optimizing the Execution of Dynamic Robot Movements With Learning Control IEEE Transactions on Robotics, pages: 1-16, 2019 (article)

arXiv link (url) DOI Project Page [BibTex]

ei Koc, O., Peters, J. Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework IEEE Robotics and Automation Letters, 4(2):1784-1791, 2019 (article)

link (url) DOI Project Page [BibTex]

ei Klus, S., Schuster, I., Muandet, K. Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces Journal of Nonlinear Science, 2019, First Online: 21 August 2019 (article)

DOI [BibTex]

ei Rakitsch, Barbara Modeling the polygenic architecture of complex traits Eberhard Karls Universität Tübingen, November 2014 (phdthesis)

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ei Gerber, P., Schlaffke, L., Heba, S., Greenlee, M., Schultz, T., Schmidt-Wilcke, T. Juggling revisited — A voxel based morphometry study with expert jugglers NeuroImage, 95, pages: 320-325, 2014 (article)

Web DOI [BibTex]

ei Bensch, M., Martens, S., Halder, S., Hill, J., Nijboer, F., Ramos, A., Birbaumer, N., Bodgan, M., Kotchoubey, B., Rosenstiel, W., Schölkopf, B., Gharabaghi, A. Assessing attention and cognitive function in completely locked-in state with event-related brain potentials and epidural electrocorticography Journal of Neural Engineering, 11(2):026006, 2014 (article)

DOI [BibTex]

ei Peters, J., Bühlman, P. Identifiability of Gaussian Structural Equation Models with Equal Error Variances Biometrika, 101(1):219-228, 2014 (article)

DOI [BibTex]

ei Fründ, I., Wichmann, F., Macke, J. Quantifying the effect of intertrial dependence on perceptual decisions Journal of Vision, 14(7):1-16, 2014 (article)

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ei Altobelli, N., Lopez-Paz, D., Pilorz, S., Spilker, L., Morishima, R., Brooks, S., Leyrat, C., Deau, E., Edgington, S., Flandes, A. Two numerical models designed to reproduce Saturn ring temperatures as measured by Cassini-CIRS Icarus, 238(0):205 - 220, 2014 (article)

Web link (url) DOI [BibTex]

ei Lopez-Paz, D. The Randomized Dependence Coefficient (UC Berkeley, MSKCC, MIT, Harvard, 2013) 2014 (talk)

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ei Bühlmann, P., Peters, J., Ernest, J. CAM: Causal Additive Models, high-dimensional order search and penalized regression Annals of Statistics, 42(6):2526-2556, 2014 (article)

DOI [BibTex]

ei 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)

[BibTex]

ei Shajarisales, N. A Novel Causal Inference Method for Time Series Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 (mastersthesis)

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ei Dann, C., Neumann, G., Peters, J. Policy Evaluation with Temporal Differences: A Survey and Comparison Journal of Machine Learning Research, 15, pages: 809-883, 2014 (article)

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ei Gomez Rodriguez, M., Leskovec, J., Balduzzi, D., Schölkopf, B. Uncovering the Structure and Temporal Dynamics of Information Propagation Network Science, 2(1):26-65, 2014 (article)

DOI [BibTex]

ei Chen, Z., Zhang, K., Chan, L., Schölkopf, B. Causal discovery via reproducing kernel Hilbert space embeddings Neural Computation, 26(7):1484-1517, 2014 (article)

DOI [BibTex]

ei Zscheischler, J., Michalak, A., Schwalm, M., Mahecha, M., Huntzinger, D., Reichstein, M., Berthier, G., Ciais, P., Cook, R., El-Masri, B., Huang, M., Ito, A., Jain, A., King, A., Lei, H., Lu, C., Mao, J., Peng, S., Poulter, B., Ricciuto, D., Shi, X., Tao, B., Tian, H., Viovy, N., Wang, W., Wei, Y., Yang, J., Zeng, N. Impact of Large-Scale Climate Extremes on Biospheric Carbon Fluxes: An Intercomparison Based on MsTMIP Data Global Biogeochemical Cycles, 2014 (article)

Web DOI [BibTex]

ei Grosse-Wentrup, M., Schölkopf, B. A Brain-Computer Interface Based on Self-Regulation of Gamma-Oscillations in the Superior Parietal Cortex Journal of Neural Engineering, 11(5):056015, 2014 (article)

Web DOI [BibTex]

ei Babbar, R., Metzig, C., Partalas, I., Gaussier, E., Amini, M. On power law distributions in large-scale taxonomies SIGKDD Explorations, Special Issue on Big Data, 16(1):47-56, 2014 (article)

[BibTex]

ei Besserve, M. Quantifying statistical dependency Research Network on Learning Systems Summer School, 2014 (talk)

[BibTex]

ei Meyer, T., Peters, J., Zander, T., Schölkopf, B., Grosse-Wentrup, M. Predicting Motor Learning Performance from Electroencephalographic Data Journal of NeuroEngineering and Rehabilitation, 11:24, 2014 (article)

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ei Ben Amor, H., Saxena, A., Hudson, N., Peters, J. Special issue on autonomous grasping and manipulation Autonomous Robots, 36(1-2):1-3, 2014 (article)

DOI [BibTex]

ei Probst, S., Wiehr, S., Mantlik, F., Schmidt, H., Kolb, A., Münch, P., Delcuratolo, M., Stubenrauch, F., Pichler, B., Iftner, T. Evaluation of Positron Emission Tomographic Tracers for Imaging of Papillomavirus-Induced Tumors in Rabbits Molecular Imaging, 13(1):1536-0121, 2014 (article)

Web [BibTex]

ei Zscheischler, J., Reichstein, M., Harmeling, S., Rammig, A., Tomelleri, E., Mahecha, M. Extreme events in gross primary production: a characterization across continents Biogeosciences, 11, pages: 2909-2924, 2014 (article)

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ei Bocsi, B., Csató, L., Peters, J. Indirect Robot Model Learning for Tracking Control Advanced Robotics, 28(9):589-599, 2014 (article)

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ei v Buttlar, J., Zscheischler, J., Mahecha, M. An extended approach for spatiotemporal gapfilling: dealing with large and systematic gaps in geoscientific datasets Nonlinear Processes in Geophysics, 21(1):203-215, 2014 (article)

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ei Schmidt, H., Schwenzer, N., Bezrukov, I., Mantlik, F., Kolb, A., Kupferschläger, J., Pichler, B. On the Quantification Accuracy, Homogeneity, and Stability of Simultaneous Positron Emission Tomography/Magnetic Resonance Imaging Systems Investigative Radiology, 49(6):373-381, 2014 (article)

Web DOI [BibTex]

ei Wierstra, D., Schaul, T., Glasmachers, T., Sun, Y., Peters, J., Schmidhuber, J. Natural Evolution Strategies Journal of Machine Learning Research, 15, pages: 949-980, 2014 (article)

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ei Solly, E., Schöning, I., Boch, S., Kandeler, E., Marhan, S., Michalzik, B., Müller, J., Zscheischler, J., Trumbore, S., Schrumpf, M. Factors controlling decomposition rates of fine root litter in temperate forests and grasslands Plant and Soil, 2014 (article)

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ei Peters, J., Mooij, J., Janzing, D., Schölkopf, B. Causal Discovery with Continuous Additive Noise Models Journal of Machine Learning Research, 15, pages: 2009-2053, 2014 (article)

PDF Web [BibTex]

ei Zscheischler, J., Mahecha, M., v Buttlar, J., Harmeling, S., Jung, M., Rammig, A., Randerson, J., Schölkopf, B., Seneviratne, S., Tomelleri, E., Zaehle, S., Reichstein, M. A few extreme events dominate global interannual variability in gross primary production Environmental Research Letters, 9(3):035001, 2014 (article)

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ei Mülling, K., Boularias, A., Mohler, B., Schölkopf, B., Peters, J. Learning Strategies in Table Tennis using Inverse Reinforcement Learning Biological Cybernetics, 108(5):603-619, 2014 (article)

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ei Pillonetto, G., Dinuzzo, F., Chen, T., De Nicolao, G., Ljung, L. Kernel methods in system identification, machine learning and function estimation: A survey Automatica, 50(3):657-682, 2014 (article)

Web DOI [BibTex]

ei Kolb, A., Parl, C., Mantlik, F., Liu, C., Lorenz, E., Renker, D., Pichler, B. Development of a novel depth of interaction PET detector using highly multiplexed G-APD cross-strip encoding Medical Physics, 41(8), 2014 (article)

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