Kapoor, V., Besserve, M., Logothetis, N. K., Panagiotaropoulos, T. I. Parallel and functionally segregated processing of task phase and conscious content in the prefrontal cortex Communications Biology, 1(215):1-12, December 2018 (article)

link (url) DOI Project Page [BibTex]

Büchler, D., Calandra, R., Schölkopf, B., Peters, J. Control of Musculoskeletal Systems using Learned Dynamics Models IEEE Robotics and Automation Letters, Robotics and Automation Letters, 3(4):3161-3168, IEEE, 2018 (article)

RAL18final link (url) DOI Project Page [BibTex]

Ruiz, F. J. R., Valera, I., Svensson, L., Perez-Cruz, F. Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation IEEE Transactions on Cognitive Communications and Networking, 4(2):177-191, June 2018 (article)

DOI Project Page [BibTex]

Ewerton, M., Rother, D., Weimar, J., Kollegger, G., Wiemeyer, J., Peters, J., Maeda, G. Assisting Movement Training and Execution With Visual and Haptic Feedback Frontiers in Neurorobotics, 12, May 2018 (article)

DOI Project Page [BibTex]

Manschitz, S., Gienger, M., Kober, J., Peters, J. Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations IEEE Robotics and Automation Letters, 3(2):926-933, April 2018 (article)

DOI Project Page [BibTex]

Paraschos, A., Rueckert, E., Peters, J., Neumann, G. Probabilistic movement primitives under unknown system dynamics Advanced Robotics, 32(6):297-310, April 2018 (article)

DOI Project Page [BibTex]

Osa, T., Pajarinen, J., Neumann, G., Bagnell, J., Abbeel, P., Peters, J. An Algorithmic Perspective on Imitation Learning Foundations and Trends in Robotics, 7(1-2):1-179, March 2018 (article)

DOI Project Page [BibTex]

Paraschos, A., Daniel, C., Peters, J., Neumann, G. Using Probabilistic Movement Primitives in Robotics Autonomous Robots, 42(3):529-551, March 2018 (article)

DOI Project Page [BibTex]

Kroemer, O., Leischnig, S., Luettgen, S., Peters, J. A kernel-based approach to learning contact distributions for robot manipulation tasks Autonomous Robots, 42(3):581-600, March 2018 (article)

DOI Project Page [BibTex]

Vinogradska, J., Bischoff, B., Peters, J. Approximate Value Iteration Based on Numerical Quadrature IEEE Robotics and Automation Letters, 3(2):1330-1337, January 2018 (article)

DOI Project Page [BibTex]

Yi, Z., Zhang, Y., Peters, J. Biomimetic Tactile Sensors and Signal Processing with Spike Trains: A Review Sensors and Actuators A: Physical, 269, pages: 41-52, January 2018 (article)

DOI Project Page [BibTex]

Shah*, N., Tabibian*, B., Muandet, K., Guyon, I., von Luxburg, U. Design and Analysis of the NIPS 2016 Review Process Journal of Machine Learning Research, 19(49):1-34, 2018, *equal contribution (article)

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

Tanneberg, D., Peters, J., Rueckert, E. Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks Neural Networks, 109, pages: 67-80, 2018 (article)

link (url) DOI Project Page [BibTex]

Zafar, M. B., Valera, I., Gomez Rodriguez, M., Gummadi, K. A Flexible Approach for Fair Classification Journal of Machine Learning, 2018 (article) Accepted

Project Page [BibTex]

Gomez-Gonzalez, S., Neumann, G., Schölkopf, B., Peters, J. Adaptation and Robust Learning of Probabilistic Movement Primitives IEEE Transactions on Robotics, 2018 (article) In revision

arXiv Project Page [BibTex]

Bustamante, S. A virtual reality environment for experiments in assistive robotics and neural interfaces Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

PDF [BibTex]

Janzing, D., Wocjan, P. Does universal controllability of physical systems prohibit thermodynamic cycles? Open Systems and Information Dynamics, 25(3):1850016, 2018 (article)

PDF DOI [BibTex]

Koc, O. Optimal Trajectory Generation and Learning Control for Robot Table Tennis Technical University Darmstadt, Germany, 2018 (phdthesis)

[BibTex]

Zhang, K., Schölkopf, B., Spirtes, P., Glymour, C. Learning Causality and Causality-Related Learning: Some Recent Progress National Science Review, 5(1):26-29, 2018 (article)

DOI [BibTex]

Koc, O., Maeda, G., Peters, J. Online optimal trajectory generation for robot table tennis Robotics and Autonomous Systems, 105, pages: 121-137, 2018 (article)

PDF link (url) DOI Project Page [BibTex]

Pfister*, N., Weichwald*, S., Bülmann, P., Schölkopf, B. Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise 2018, *equal contribution (article) Submitted

ArXiv Code Project page PDF Project Page Project Page [BibTex]

Muandet, K., Kanagawa, M., Saengkyongam, S., Marukata, S. Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference Arxiv e-prints, arXiv:1805.08845v1 [stat.ML], 2018 (article)

arXiv [BibTex]

Osa, T., Peters, J., Neumann, G. Hierarchical Reinforcement Learning of Multiple Grasping Strategies with Human Instructions Advanced Robotics, 32(18):955-968, 2018 (article)

DOI Project Page [BibTex]

Gebhard, T. On the Applicability of Machine Learning to Aid the Search for Gravitational Waves at the LIGO Experiment Karlsruhe Institute of Technology, Germany, 2018 (mastersthesis)

[BibTex]

Simon-Gabriel, C. J. Distribution-Dissimilarities in Machine Learning Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

[BibTex]

Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. Autofocusing-based phase correction Magnetic Resonance in Medicine, 80(3):958-968, 2018 (article)

DOI [BibTex]

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]

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]

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]

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

[BibTex]

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]

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

[BibTex]

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]

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]

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]

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]

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]

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

Project Page [BibTex]

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]

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]

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

link (url) Project Page [BibTex]

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]

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

[BibTex]

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]

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]

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]

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]

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]

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

DOI [BibTex]

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

[BibTex]