ei Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M. Generalized phase locking analysis of electrophysiology data 7th AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles, 2018 (poster)

link (url) Project Page [BibTex]

ei Hohmann, M. R., Fomina, T., Jayaram, V., Emde, T., Just, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M. Case series: Slowing alpha rhythm in late-stage ALS patients Clinical Neurophysiology, 129(2):406-408, 2018 (article)

DOI Project Page [BibTex]

ei Šošić, A., Rueckert, E., Peters, J., Zoubir, A., Koeppl, H. Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling Journal of Machine Learning Research, 19(69):1-45, 2018 (article)

link (url) Project Page [BibTex]

ei Veiga, F., Peters, J., Hermans, T. Grip Stabilization of Novel Objects using Slip Prediction IEEE Transactions on Haptics, 2018 (article) In press

DOI Project Page [BibTex]

ei Lechner, T. Domain Adaptation Under Causal Assumptions Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

[BibTex]

ei Raj*, A., Law*, L., Sejdinovic*, D., Park, M. A Differentially Private Kernel Two-Sample Test 2018, *equal contribution (conference) Submitted

[BibTex]

ei Kellmeyer, P., Grosse-Wentrup, M., Schulze-Bonhage, A., Ziemann, U., Ball, T. Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis—implications for brain–computer interfacing Journal of Neural Engineering, 15(4):041003, IOP Publishing, 2018 (article)

link (url) [BibTex]

ei Suter, R. A Causal Perspective on Deep Representation Learning ETH Zurich, 2018 (mastersthesis)

[BibTex]

ei Besserve, M., Sun, R., Schölkopf, B. Counterfactuals uncover the modular structure of deep generative models 2018 (conference) Submitted

[BibTex]

ei Ciliberto, C., Herbster, M., Ialongo, A. D., Pontil, M., Rocchetto, A., Severini, S., Wossnig, L. Quantum machine learning: a classical perspective Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 474(2209):20170551, 2018 (article)

link (url) DOI [BibTex]

ei Schökopf, B. Maschinelles Lernen: Entwicklung ohne Grenzen? In Mit Optimismus in die Zukunft schauen. Künstliche Intelligenz - Chancen und Rahmenbedingungen, pages: 26-34, (Editors: Bender, G. and Herbrich, R. and Siebenhaar, K.), B&S Siebenhaar Verlag, 2018 (incollection)

[BibTex]

ei Pfister, N., Bühlmann, P., Schölkopf, B., Peters, J. Kernel-based tests for joint independence Journal of the Royal Statistical Society: Series B (Statistical Methodology), 80(1):5-31, 2018 (article)

DOI [BibTex]

ei Babbar, R., Heni, M., Peter, A., Hrabě de Angelis, M., Häring, H., Fritsche, A., Preissl, H., Schölkopf, B., Wagner, R. Prediction of Glucose Tolerance without an Oral Glucose Tolerance Test Frontiers in Endocrinology, 9, pages: 82, 2018 (article)

DOI Project Page [BibTex]

ei Rojas-Carulla, M., Schölkopf, B., Turner, R., Peters, J. Invariant Models for Causal Transfer Learning Journal of Machine Learning Research, 19(36):1-34, 2018 (article)

link (url) [BibTex]

ei Jayaram, V., Barachant, A. MOABB: Trustworthy algorithm benchmarking for BCIs Journal of Neural Engineering, 15(6):066011, 2018 (article)

link (url) DOI Project Page [BibTex]

ei Belousov, B., Peters, J. f-Divergence constrained policy improvement Journal of Machine Learning Research, 2018 (article) Submitted

Project Page [BibTex]

ei Fioravanti*, D., Giarratano*, Y., Maggio*, V., Agostinelli, C., Chierici, M., Jurman, G., Furlanello, C. Phylogenetic convolutional neural networks in metagenomics BMC Bioinformatics, 19(2):49 pages, 2018, *equal contribution (article)

DOI [BibTex]

ei Leehr, E. J., Schag, K., Dresler, T., Grosse-Wentrup, M., Hautzinger, M., Fallgatter, A. J., Zipfel, S., Giel, K. E., Ehlis, A. Food specific inhibitory control under negative mood in binge-eating disorder: Evidence from a multimethod approach International Journal of Eating Disorders, 51(2):112-123, Wiley Online Library, 2018 (article)

DOI [BibTex]

ei pn Mahsereci, M. Probabilistic Approaches to Stochastic Optimization Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

link (url) Project Page [BibTex]

ei Zabel, S. Improving Tissue Differentiation based on Optical Emission Spectroscopy for Guided Electrosurgical Tumor Resection with Machine Learning Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

[BibTex]

ei Guist, S. Reinforcement Learning for High-Speed Robotics with Muscular Actuation Ruprecht-Karls-Universität Heidelberg , 2018 (mastersthesis)

[BibTex]

ei Disselhorst, J. A., Krueger, M. A., Ud-Dean, S. M. M., Bezrukov, I., Jarboui, M. A., Trautwein, C., Traube, A., Spindler, C., Cotton, J. M., Leibfritz, D., Pichler, B. J. Linking imaging to omics utilizing image-guided tissue extraction Proceedings of the National Academy of Sciences, 115(13):E2980-E2987, 2018 (article)

DOI [BibTex]

ei Wichmann, F. A., Jäkel, F. Methods in Psychophysics In Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience, 5 (Methodology), 7, 4th, John Wiley & Sons, Inc., 2018 (inbook)

[BibTex]

ei Simon-Gabriel, C. J., Schölkopf, B. Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions Journal of Machine Learning Research, 19(44):1-29, 2018 (article)

URL arXiv_long version Project Page [BibTex]

ei Xiao, L., Heide, F., Heidrich, W., Schölkopf, B., Hirsch, M. Discriminative Transfer Learning for General Image Restoration IEEE Transactions on Image Processing, 27(8):4091-4104, 2018 (article)

DOI [BibTex]

ei Pérez-Pellitero, E., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B. Photorealistic Video Super Resolution Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), 2018 (poster)

[BibTex]

ei Ścibior, A., Kammar, O., Vákár, M., Staton, S., Yang, H., Cai, Y., Ostermann, K., Moss, S. K., Heunen, C., Ghahramani, Z. Denotational Validation of Higher-order Bayesian Inference Proceedings of the ACM on Principles of Programming Languages (POPL), 2(Article No. 60):1-29, ACM, 2018 (conference)

DOI Project Page [BibTex]

ei Ramirez-Villegas, J. F., Willeke, K. F., Logothetis, N. K., Besserve, M. Dissecting the synapse- and frequency-dependent network mechanisms of in vivo hippocampal sharp wave-ripples Neuron, 100(5):1224-1240, 2018 (article)

link (url) DOI Project Page [BibTex]

ei Meding, K., Hirsch, M., Wichmann, F. A. Retinal image quality of the human eye across the visual field 14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018), 2018 (poster)

[BibTex]

ei Veiga, F. F., Edin, B. B., Peters, J. In-Hand Object Stabilization by Independent Finger Control IEEE Transactions on Robotics, 2018 (article) Submitted

Project Page [BibTex]

ei Vergari, A., Di Mauro, N., Esposito, F. Visualizing and understanding Sum-Product Networks Machine Learning, 2018 (article)

DOI [BibTex]

ei Jayaram, V., Fiebig, K., Peters, J., Grosse-Wentrup, M. Transfer Learning for BCIs In Brain–Computer Interfaces Handbook, pages: 425-442, 22, (Editors: Chang S. Nam, Anton Nijholt and Fabien Lotte), CRC Press, 2018 (incollection)

Project Page [BibTex]

ei pn slt Garreau, D., Jitkrittum, W., Kanagawa, M. Large sample analysis of the median heuristic 2018 (misc) In preparation

arXiv [BibTex]

ei pn Schober, M. Probabilistic Ordinary Differential Equation Solvers — Theory and Applications Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

[BibTex]

ei Jayaram, V. A machine learning approach to taking EEG-based computer interfaces out of the lab Graduate Training Centre of Neuroscience, IMPRS, Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

[BibTex]

ei Grau-Moya, J, Krüger, M, Braun, DA Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments Entropy, 20(1:1):1-28, January 2018 (article)

DOI [BibTex]

ei Simon-Gabriel*, C. J., Ścibior*, A., Tolstikhin, I., Schölkopf, B. Consistent Kernel Mean Estimation for Functions of Random Variables Advances in Neural Information Processing Systems 29, pages: 1732-1740, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016, *joint first authors (conference)

link (url) Project Page Project Page Project Page [BibTex]

ei Bauer, M., van der Wilk, M., Rasmussen, C. E. Understanding Probabilistic Sparse Gaussian Process Approximations Advances in Neural Information Processing Systems 29, pages: 1533-1541, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)

link (url) Project Page [BibTex]

ei Tolstikhin, I., Sriperumbudur, B. K., Schölkopf, B. Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels Advances in Neural Information Processing Systems 29, pages: 1930-1938, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)

link (url) Project Page [BibTex]

ei Parisi, S., Blank, A., Viernickel, T., Peters, J. Local-utopia Policy Selection for Multi-objective Reinforcement Learning In IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), pages: 1-7, IEEE, December 2016 (inproceedings)

DOI [BibTex]

ei Pentina, A., Urner, R. Lifelong Learning with Weighted Majority Votes Advances in Neural Information Processing Systems 29, pages: 3612-3620, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)

link (url) Project Page [BibTex]

ei Kontorovich, A., Sabato, S., Urner, R. Active Nearest-Neighbor Learning in Metric Spaces Advances in Neural Information Processing Systems 29, pages: 856-864, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)

link (url) Project Page [BibTex]

ei Belousov, B., Neumann, G., Rothkopf, C., Peters, J. Catching heuristics are optimal control policies Advances in Neural Information Processing Systems 29, pages: 1426-1434, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)

link (url) Project Page [BibTex]

ei Ewerton, M., Maeda, G., Kollegger, G., Wiemeyer, J., Peters, J. Incremental Imitation Learning of Context-Dependent Motor Skills IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pages: 351-358, IEEE, November 2016 (conference)

DOI Project Page [BibTex]

am ei Gomez-Gonzalez, S., Neumann, G., Schölkopf, B., Peters, J. Using Probabilistic Movement Primitives for Striking Movements 16th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pages: 502-508, November 2016 (conference)

link (url) DOI Project Page [BibTex]

ei Koert, D., Maeda, G., Lioutikov, R., Neumann, G., Peters, J. Demonstration Based Trajectory Optimization for Generalizable Robot Motions IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pages: 351-358, IEEE, November 2016 (conference)

DOI Project Page [BibTex]

am ei Huang, Y., Büchler, D., Koc, O., Schölkopf, B., Peters, J. Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis 16th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pages: 650-655, November 2016 (conference)

final link (url) DOI Project Page [BibTex]

ei Tanneberg, D., Paraschos, A., Peters, J., Rueckert, E. Deep Spiking Networks for Model-based Planning in Humanoids IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pages: 656-661, IEEE, November 2016 (conference)

DOI Project Page [BibTex]

ei Maeda, G., Maloo, A., Ewerton, M., Lioutikov, R., Peters, J. Anticipative Interaction Primitives for Human-Robot Collaboration AAAI Fall Symposium Series. Shared Autonomy in Research and Practice, pages: 325-330, November 2016 (conference)

link (url) [BibTex]

ei Lopez-Paz, D., Schölkopf, B., Bottou, L., Vapnik, V. Unifying distillation and privileged information International Conference on Learning Representations (ICLR), November 2016 (conference)

Arxiv Project Page [BibTex]