DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group


Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

Career

Award


Perceiving Systems Technical Report A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them Sun, D., Roth, S., Black, M. J. (CS-10-03), Brown University, Department of Computer Science, January 2013 pdf BibTeX

Empirical Inference Article Explicit eigenvalues of certain scaled trigonometric matrices Sra, S. Linear Algebra and its Applications, 438(1):173-181, January 2013 (Published) DOI BibTeX

Empirical Inference Conference Paper Falsification and future performance Balduzzi, D. In Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 7070:65-78, Lecture Notes in Computer Science, Springer, Berlin, Germany, Solomonoff 85th Memorial Conference, January 2013 (Published) PDF Web DOI BibTeX

Empirical Inference Article How Sensitive Is the Human Visual System to the Local Statistics of Natural Images? Gerhard, H., Wichmann, F., Bethge, M. PLoS Computational Biology, 9(1):e1002873, January 2013 DOI BibTeX

Empirical Inference Article How the result of graph clustering methods depends on the construction of the graph Maier, M., von Luxburg, U., Hein, M. ESAIM: Probability & Statistics, 17:370-418, January 2013 (Published) PDF DOI BibTeX

Perceiving Systems Conference Paper A Comparison of Directional Distances for Hand Pose Estimation Tzionas, D., Gall, J. In German Conference on Pattern Recognition (GCPR), 8142:131-141, Lecture Notes in Computer Science, (Editors: Weickert, Joachim and Hein, Matthias and Schiele, Bernt), Springer, 2013 pdf Supplementary Project Page DOI URL BibTeX

Perceiving Systems Conference Paper A Generic Deformation Model for Dense Non-Rigid Surface Registration: a Higher-Order MRF-based Approach Zeng, Y., Wang, C., Gu, X., Samaras, D., Paragios, N. In IEEE International Conference on Computer Vision (ICCV), 3360~3367, 2013 pdf BibTeX

Empirical Inference Conference Paper A Guided Hybrid Genetic Algorithm for Feature Selection with Expensive Cost Functions Jung, M., Zscheischler, J. In Proceedings of the International Conference on Computational Science, 18:2337 - 2346, Procedia Computer Science, (Editors: Alexandrov, V and Lees, M and Krzhizhanovskaya, V and Dongarra, J and Sloot, PMA), Elsevier, Amsterdam, Netherlands, ICCS, 2013 Web DOI BibTeX

Physical Intelligence Conference Paper A Perching Mechanism for Flying Robots Using a Fibre-Based Adhesive Daler, L., Klaptocz, A., Briod, A., Sitti, M., Floreano, D. In Robotics and Automation (ICRA), 2013 IEEE International Conference on, 2013 BibTeX

Empirical Inference Book Chapter A Review of Performance Variations in SMR-Based Brain–Computer Interfaces (BCIs) Grosse-Wentrup, M., Schölkopf, B. In Brain-Computer Interface Research, 39-51, 4, SpringerBriefs in Electrical and Computer Engineering, (Editors: Guger, C., Allison, B. Z. and Edlinger, G.), Springer, 2013 PDF DOI BibTeX

Empirical Inference Article A Survey on Policy Search for Robotics, Foundations and Trends in Robotics Deisenroth, M., Neumann, G., Peters, J. Foundations and Trends in Robotics, 2(1-2):1-142, 2013 DOI BibTeX

Physical Intelligence Conference Paper A hybrid topological and structural optimization method to design a 3-DOF planar motion compliant mechanism Lum, G. Z., Teo, T. J., Yang, G., Yeo, S. H., Sitti, M. In Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on, 247-254, 2013 BibTeX

Empirical Inference Conference Paper A machine learning approach for non-blind image deconvolution Schuler, C., Burger, H. C., Harmeling, S., Schölkopf, B. In IEEE Conference on Computer Vision and Pattern Recognition, 1067-1074, IEEE, CVPR, 2013 Web Web DOI BibTeX

Empirical Inference Article A neural population model for visual pattern detection Goris, R., Putzeys, T., Wagemans, J., Wichmann, F. Psychological Review, 120(3):472–496, 2013 DOI BibTeX

Empirical Inference Conference Paper A probabilistic approach to robot trajectory generation Paraschos, A., Neumann, G., Peters, J. In Proceedings of the 13th IEEE International Conference on Humanoid Robots (HUMANOIDS), 477-483, IEEE, 13th IEEE-RAS International Conference on Humanoid Robots, 2013 DOI BibTeX

Empirical Inference Article A probabilistic model for secondary structure prediction from protein chemical shifts Mechelke, M., Habeck, M. Proteins: Structure, Function, and Bioinformatics, 81(6):984–993, 2013 (Published) DOI BibTeX

Physical Intelligence Article A simulation and design tool for a passive rotation flapping wing mechanism Arabagi, V., Hines, L., Sitti, M. IEEE/ASME Transactions on Mechatronics, 18(2):787-798, 2013 BibTeX

Empirical Inference Conference Paper Abstraction in Decision-Makers with Limited Information Processing Capabilities Genewein, T., Braun, D. 1-9, NIPS 2013 Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, December 2013 URL BibTeX

Empirical Inference Article Accurate detection of differential RNA processing Drewe, P., Stegle, O., Hartmann, L., Kahles, A., Bohnert, R., Wachter, A., Borgwardt, K. M., Rätsch, G. Nucleic Acids Research, 41(10):5189-5198, 2013 (Published) DOI BibTeX

Empirical Inference Article Accurate indel prediction using paired-end short reads Grimm, D., Hagmann, J., Koenig, D., Weigel, D., Borgwardt, K. BMC Genomics, 14(132), 2013 Web DOI BibTeX

Empirical Inference Conference Paper Adaptivity to Local Smoothness and Dimension in Kernel Regression Kpotufe, S., Garg, V. In Advances in Neural Information Processing Systems 26, 3075-3083, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS 2013), 2013 PDF BibTeX

Empirical Inference Conference Paper Alignment-based Transfer Learning for Robot Models Bocsi, B., Csato, L., Peters, J. In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), 1-7, 2013 PDF DOI BibTeX

Empirical Inference Probabilistic Numerics Article Analytical probabilistic modeling for radiation therapy treatment planning Bangert, M., Hennig, P., Oelfke, U. Physics in Medicine and Biology, 58(16):5401-5419, 2013 PDF DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Analytical probabilistic proton dose calculation and range uncertainties Bangert, M., Hennig, P., Oelfke, U. In 17th International Conference on the Use of Computers in Radiation Therapy, 6-11, (Editors: A. Haworth and T. Kron), ICCR, 2013 BibTeX

Empirical Inference Poster Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M. Bernstein Conference, 2013 DOI BibTeX

Physical Intelligence Conference Paper Angular Motion Control Using a Closed-Loop CPG for a Water-Running Robot Thatte, N., Khoramshahi, M., Ijspeert, A., Sitti, M. In Dynamic Walking 2013, (EPFL-CONF-199763), 2013 BibTeX

Empirical Inference Probabilistic Numerics Technical Report Animating Samples from Gaussian Distributions Hennig, P. (8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 PDF BibTeX

Theory of Inhomogeneous Condensed Matter Article Anomalous transport in the crowded world of biological cells Höfling, F., Franosch, T. Reports on Progress in Physics, 76(4), IOP Pub., London, 2013, author: Höfling, Felix DOI URL BibTeX

Empirical Inference Conference Paper Auto-Calibrating Spherical Deconvolution Based on ODF Sparsity Schultz, T., Gröschel, S. In Proceedings of Medical Image Computing and Computer-Assisted Intervention, Part I, 663-670, (Editors: K Mori and I Sakuma and Y Sato and C Barillot and N Navab), Springer, MICCAI, 2013, Lecture Notes in Computer Science, vol. 8149 DOI BibTeX

Empirical Inference Conference Paper Automatic Malaria Diagnosis system Mehrjou, A., Abbasian, T., Izadi, M. In First RSI/ISM International Conference on Robotics and Mechatronics (ICRoM), 205-211, 2013 (Published) DOI BibTeX

Empirical Inference Conference Paper Autonomous Reinforcement Learning with Hierarchical REPS Daniel, C., Neumann, G., Peters, J. In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), 1-8, 2013 DOI BibTeX

Autonomous Learning Book Chapter Behavior as broken symmetry in embodied self-organizing robots Der, R., Martius, G. In Advances in Artificial Life, ECAL 2013, 601-608, MIT Press, 2013 BibTeX

Empirical Inference Article Blind Retrospective Motion Correction of MR Images Loktyushin, A., Nickisch, H., Pohmann, R., Schölkopf, B. Magnetic Resonance in Medicine (MRM), 70(6):1608–1618, 2013 DOI BibTeX

Physical Intelligence Conference Paper Bonding methods for modular micro-robotic assemblies Diller, E., Zhang, N., Sitti, M. In Robotics and Automation (ICRA), 2013 IEEE International Conference on, 2588-2593, 2013 BibTeX

Empirical Inference Conference Paper Bounded Rational Decision-Making in Changing Environments Grau-Moya, J., Braun, D. 1-9, NIPS 2013 Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, December 2013 URL BibTeX

Empirical Inference Conference Paper Causal Inference on Time Series using Restricted Structural Equation Models Peters, J., Janzing, D., Schölkopf, B. In Advances in Neural Information Processing Systems 26, 154-162, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS 2013), 2013 PDF BibTeX

Empirical Inference Poster Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus Ramirez-Villegas, J., Logothetis, N., Besserve, M. 4th German Neurophysiology PhD Meeting Networks, 2013 Web BibTeX

Micro, Nano, and Molecular Systems Article Chiral Colloidal Molecules And Observation of The Propeller Effect Schamel, D., Pfeifer, M., Gibbs, J. G., Miksch, B., Mark, A. G., Fischer, P. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 135(33):12353-12359, 2013 Video - Nanospropellers DOI BibTeX

Perceiving Systems Book Chapter Class-Specific Hough Forests for Object Detection Gall, J., Lempitsky, V. In Decision Forests for Computer Vision and Medical Image Analysis, 143-157, 11, (Editors: Criminisi, A. and Shotton, J.), Springer, 2013 code BibTeX

Empirical Inference Article Climate Extremes and the Carbon Cycle Reichstein, M., Bahn, M., Ciais, P., Frank, D., Mahecha, M., Seneviratne, S., Zscheischler, J., Beer, C., Buchmann, N., Frank, D., et al. Nature, 500:287-295, 2013 DOI BibTeX

Physical Intelligence Article Co-chairs VINCENT, J., ZHU, D., DAI, Z., CHEN, D., JIANG, L., KANG, L., REN, L., XUE, Q., Zhao, C., BARNES, J., et al. 2013 BibTeX

Theory of Inhomogeneous Condensed Matter Article Colloidal particles at fluid interfaces: Effective interactions, dynamics and a gravitation\textendashlike instability Bleibel, J., Dom\’\inguez, A., Oettel, M. The European Physical Journal Special Topics, 222(11):3071-3087, 2013 DOI BibTeX

Theory of Inhomogeneous Condensed Matter Article Comparison between theory and simulations for the magnetization and the susceptibility of polydisperse ferrofluids Szalai, I., Nagy, S., Dietrich, S. Journal of Physics: Condensed Matter, 25(46):465108, IOP Pub., Bristol, UK, 2013 DOI BibTeX

Materials Article Concentration and Strain Fields inside a Ag/Au Core-Shell Nanowire Studied by Coherent X-ray Diffraction Haag, S. T., Richard, M. I., Welzel, U., Favre-Nicolin, V., Balmes, O., Richter, G., Mittemeijer, E. J., Thomas, O. Nano Letters, 13(5):1883-1889, 2013 DOI BibTeX

Physical Intelligence Article Contact compliance effects in the frictional response of bioinspired fibrillar adhesives Piccardo, M., Chateauminois, A., Fretigny, C., Pugno, N. M., Sitti, M. Journal of The Royal Society Interface, 10(83):20130182, The Royal Society, 2013 BibTeX

Empirical Inference Article Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising Bottou, L., Peters, J., Quiñonero-Candela, J., Charles, D., Chickering, D., Portugualy, E., Ray, D., Simard, P., Snelson, E. Journal of Machine Learning Research, 14:3207-3260, 2013 (Published) Web URL BibTeX