am
ei
Calandra, R., Ivaldi, S., Deisenroth, M., Rückert, E., Peters, J.
Learning Inverse Dynamics Models with Contacts
In IEEE International Conference on Robotics and Automation, pages: 3186-3191, ICRA, 2015 (inproceedings)
am
ei
Maeda, G., Neumann, G., Ewerton, M., Lioutikov, R., Peters, J.
A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation
In Proceedings of the International Symposium of Robotics Research, ISRR, 2015 (inproceedings)
ei
Sajjadi, M. S. M., Alamgir, M., von Luxburg, U.
Peer grading in a course on algorithms and data structures
Workshop on Machine Learning for Education (ML4Ed) at the 32th International Conference on Machine Learning (ICML), 2015 (conference)
ei
Schölkopf, B., Hogg, D., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. J., Peters, J.
Removing systematic errors for exoplanet search via latent causes
In Proceedings of The 32nd International Conference on Machine Learning, 37, pages: 2218–2226, JMLR Workshop and Conference Proceedings, (Editors: Bach, F. and Blei, D.), JMLR, ICML, 2015 (inproceedings)
ei
Foreman-Mackey, D., Montet, B., Hogg, D., Morton, T., Wang, D., Schölkopf, B.
A systematic search for transiting planets in the K2 data
The Astrophysical Journal, 806(2), 2015 (article)
ei
Geiger, P., Zhang, K., Schölkopf, B., Gong, M., Janzing, D.
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
In Proceedings of the 32nd International Conference on Machine Learning, 37, pages: 1917–1925, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (inproceedings)
ei
Jayaram, V., Widmann, N., Förster, C., Fomina, T., Hohmann, M. R., Müller vom Hagen, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
Brain-Computer Interfacing in Amyotrophic Lateral Sclerosis: Implications of a Resting-State EEG Analysis
In Proceedings of the 37th IEEE Conference for Engineering in Medicine and Biology, pages: 6979-6982, EMBC, 2015 (inproceedings)
ei
Fomina, T., Hohmann, M. R., Schölkopf, B., Grosse-Wentrup, M.
Identification of the Default Mode Network with Electroencephalography
In Proceedings of the 37th IEEE Conference for Engineering in Medicine and Biology, pages: 7566-7569, EMBC, 2015 (inproceedings)
ei
Fomina, T., Schölkopf, B., Grosse-Wentrup, M.
Towards Cognitive Brain-Computer Interfaces for Patients with Amyotrophic Lateral Sclerosis
In 7th Computer Science and Electronic Engineering Conference, pages: 77-80, Curran Associates, Inc., CEEC, 2015 (inproceedings)
am
ei
Manschitz, S., Kober, J., Gienger, M., Peters, J.
Learning Movement Primitive Attractor Goals and Sequential Skills from Kinesthetic Demonstrations
Robotics and Autonomous Systems, 74, Part A, pages: 97-107, 2015 (article)
am
ei
Calandra, R., Seyfarth, A., Peters, J., Deisenroth, M.
Bayesian Optimization for Learning Gaits under Uncertainty
Annals of Mathematics and Artificial Intelligence, pages: 1-19, 2015 (article)
am
ei
Kroemer, O., Daniel, C., Neumann, G., van Hoof, H., Peters, J.
Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks
In IEEE International Conference on Robotics and Automation, pages: 1503 - 1510, ICRA, 2015 (inproceedings)
ei
pn
Mahsereci, M., Hennig, P.
Probabilistic Line Searches for Stochastic Optimization
In Advances in Neural Information Processing Systems 28, pages: 181-189, (Editors: C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama and R. Garnett), Curran Associates, Inc., 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015 (inproceedings)
ei
Wehrl, H. F., Bezrukov, I., Wiehr, S., Lehnhoff, M., Fuchs, K., Mannheim, J. G., Quintanilla-Martinez, L., Kneilling, M., Pichler, B. J., Sauter, A. W.
Assessment of murine brain tissue shrinkage caused by different histological fixatives using magnetic resonance and computed tomography imaging
Histology and Histopathology, 30(5):601-613, 2015 (article)
ei
Rothenhäusler, D., Heinze, C., Peters, J., Meinshausen, N.
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
Advances in Neural Information Processing Systems 28, pages: 1513-1521, (Editors: C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama and R. Garnett), Curran Associates, Inc., 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015 (conference)
ei
Tripuraneni*, N., Gu*, S., Ge, H., Ghahramani, Z.
Particle Gibbs for Infinite Hidden Markov Models
Advances in Neural Information Processing Systems 28, pages: 2395-2403, (Editors: Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, and Roman Garnett), 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015, *equal contribution (conference)
ei
Mehrjou, A., Hosseini, R., Araabi, B.
Improved Bayesian Information Criterion for Mixture Model Selection
Pattern Recognition Letters, 69, pages: 22-27, 2015 (article)
ei
Sajjadi, M. S. M., Alamgir, M., von Luxburg, U.
Peer grading in a course on algorithms and data structures
Workshop on Crowdsourcing and Machine Learning (CrowdML) Workshop on Machine Learning for Education (ML4Ed) at at the 32th International Conference on Machine Learning (ICML), 2015 (conference)
ei
pn
Hauberg, S., Schober, M., Liptrot, M., Hennig, P., Feragen, A.
A Random Riemannian Metric for Probabilistic Shortest-Path Tractography
In 18th International Conference on Medical Image Computing and Computer Assisted Intervention, 9349, pages: 597-604, Lecture Notes in Computer Science, MICCAI, 2015 (inproceedings)
ei
Spirtes, P., Zhang, K.
Recent Methodological Advances in Causal Discovery and Inference
In 15th Conference on Theoretical Aspects of Rationality and Knowledge, pages: 23-35, (Editors: Ramanujam, R.), TARK, 2015 (inproceedings)
am
ei
Huang, Y., Schölkopf, B., Peters, J.
Learning Optimal Striking Points for A Ping-Pong Playing Robot
In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages: 4587-4592, IROS, 2015 (inproceedings)
am
ei
Abdolmaleki, A., Peters, J., Neumann, G.
Model-Based Relative Entropy Stochastic Search
In Advances in Neural Information Processing Systems 28, pages: 3523-3531, (Editors: C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama and R. Garnett), Curran Associates, Inc., 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015 (inproceedings)
am
ei
Ewerton, M., Neumann, G., Lioutikov, R., Ben Amor, H., Peters, J., Maeda, G.
Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives
In Workshop on Machine Learning for Social Robotics, ICRA, 2015 (inproceedings)
am
ei
Rueckert, E., Mundo, J., Paraschos, A., Peters, J., Neumann, G.
Extracting Low-Dimensional Control Variables for Movement Primitives
In IEEE International Conference on Robotics and Automation, pages: 1511-1518, ICRA, 2015 (inproceedings)
ei
Alaíz, C. M., Dinuzzo, F., Sra, S.
Correlation matrix nearness and completion under observation uncertainty
IMA Journal of Numerical Analysis, 35(1):325-340, 2015 (article)
ei
Bezrukov, I., Schmidt, H., Gatidis, S., Mantlik, F., Schäfer, J. F., Schwenzer, N., Pichler, B. J.
Quantitative evaluation of segmentation- and atlas- based attenuation correction for PET/MR on pediatric patients
Journal of Nuclear Medicine, 56(7):1067-1074, 2015 (article)
ei
Hirsch, M., Schölkopf, B.
Self-calibration of optical lenses
In IEEE International Conference on Computer Vision (ICCV 2015), pages: 612-620, IEEE, 2015 (inproceedings)
ei
Shajarisales, N., Janzing, D., Schölkopf, B., Besserve, M.
Telling cause from effect in deterministic linear dynamical systems
In Proceedings of the 32nd International Conference on Machine Learning, 37, pages: 285–294, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (inproceedings)
ei
Hohmann, M. R., Fomina, T., Jayaram, V., Widmann, N., Förster, C., Müller vom Hagen, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis
In Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, pages: 3187-3191, SMC, 2015 (inproceedings)
ei
pn
Hennig, P., Osborne, M. A., Girolami, M.
Probabilistic numerics and uncertainty in computations
Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 471(2179), 2015 (article)
ei
Awasthi, P., Balcan, M., Haghtalab, N., Urner, R.
Efficient Learning of Linear Separators under Bounded Noise
In Proceedings of the 28th Conference on Learning Theory, 40, pages: 167-190, (Editors: Grünwald, P. and Hazan, E. and Kale, S.), JMLR, COLT, 2015 (inproceedings)
am
ei
Ewerton, M., Neumann, G., Lioutikov, R., Ben Amor, H., Peters, J., Maeda, G.
Learning multiple collaborative tasks with a mixture of Interaction Primitives
In IEEE International Conference on Robotics and Automation, pages: 1535-1542, ICRA, 2015 (inproceedings)
ei
Melchior, P., Suchyta, E., Huff, E., Hirsch, M., Kacprzak, T., Rykoff, E., Gruen, D., Armstrong, R., Bacon, D., Bechtol, K., others,
Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data
Monthly Notices of the Royal Astronomical Society, 449(3):2219-2238, Oxford University Press, 2015 (article)
ei
Peng, Z, Braun, DA
Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories
Frontiers in Psychology, 6(1879):1-13, December 2015 (article)
ei
Genewein, T, Leibfried, F, Grau-Moya, J, Braun, DA
Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle
Frontiers in Robotics and AI, 2(27):1-24, October 2015 (article)
ei
Peng, Z, Braun, DA
Developing neural networks with neurons competing for survival
pages: 152-153, IEEE, Piscataway, NJ, USA, 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB), August 2015 (conference)
ei
Leibfried, F, Grau-Moya, J, Braun, DA
Signaling equilibria in sensorimotor interactions
Cognition, 141, pages: 73-86, August 2015 (article)
ei
Genewein, T, Hez, E, Razzaghpanah, Z, Braun, DA
Structure Learning in Bayesian Sensorimotor Integration
PLoS Computational Biology, 11(8):1-27, August 2015 (article)
ei
Leibfried, F, Braun, DA
A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker
Neural Computation, 27(8):1686-1720, July 2015 (article)
ei
Ortega, PA, Braun, DA
What is epistemic value in free energy models of learning and acting? A bounded rationality perspective
Cognitive Neuroscience, 6(4):215-216, December 2015 (article)
ei
Lampert, C., Blaschko, M., Hofmann, T.
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(12):2129-2142, December 2009 (article)
ei
Mülling, K., Peters, J.
A computational model of human table tennis for robot application
In AMS 2009, pages: 57-64, (Editors: Dillmann, R. , J. Beyerer, C. Stiller, M. Zöllner, T. Gindele), Springer, Berlin, Germany, Autonome Mobile Systeme, December 2009 (inproceedings)
ei
Habeck, M.
Generation of three-dimensional random rotations in fitting and matching problems
Computational Statistics, 24(4):719-731, December 2009 (article)
ei
Hachiya, H., Akiyama, T., Sugiyama, M., Peters, J.
Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning
Neural Networks, 22(10):1399-1410, December 2009 (article)
ei
Seldin, Y., Tishby, N.
A PAC-Bayesian Approach to Formulation of Clustering Objectives
In Proceedings of the NIPS 2009 Workshop "Clustering: Science or Art? Towards Principled Approaches", pages: 1-4, NIPS Workshop "Clustering: Science or Art? Towards Principled Approaches", December 2009 (inproceedings)
ei
Jegelka, S., Bilmes, J.
Notes on Graph Cuts with Submodular Edge Weights
In pages: 1-6, NIPS Workshop on Discrete Optimization in Machine Learning: Submodularity, Sparsity & Polyhedra (DISCML), December 2009 (inproceedings)
ei
Parker, C., Altun, Y., Tadepalli, P.
Guest editorial: special issue on structured prediction
Machine Learning, 77(2-3):161-164, December 2009 (article)
ei
Lampert, CH., Blaschko, MB.
Structured prediction by joint kernel support estimation
Machine Learning, 77(2-3):249-269, December 2009 (article)
ei
Kober, J., Peters, J.
Learning new basic Movements for Robotics
In AMS 2009, pages: 105-112, (Editors: Dillmann, R. , J. Beyerer, C. Stiller, M. Zöllner, T. Gindele), Springer, Berlin, Germany, Autonome Mobile Systeme, December 2009 (inproceedings)
ei
Sigaud, O., Peters, J.
From Motor Learning to Interaction Learning in Robots
In Proceedings of 7ème Journées Nationales de la Recherche en Robotique, pages: 189-195, JNRR, November 2009 (inproceedings)