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


Miscellaneous Uncovering the organization of neural circuits with generalized phase locking analysis Safavi, S., Panagiotaropoulos, T., Kapoor, V., Ramirez-Villegas, J., Logothetis, N., Besserve, M. 2020 DOI BibTeX

Miscellaneous Uncovering the organization of neural circuits with generalized phaselocking analysis Safavi, S., Panagiotaropoulos, F., Kapoor, V., Ramirez-Villegas, J., Logothetis, N., Besserve, M. Computational and Systems Neuroscience Meeting (COSYNE 2020), 150-151, 2020 BibTeX

Article Unexpected Trends in the Stability and Dissociation Kinetics of Lanthanide(III) Complexes with Cyclen-Based Ligands across the Lanthanide Series Garda, Z., Nagy, V., Rodr\’\iguez-Rodr\’\iguez, A., Pujales-Paradela, R., Patinec, V., Angelovski, G., Tóth, E., Kálmán, F., Esteban-Gómez, D., Tripier, R., et al. {Inorganic Chemistry}, 59(12):8184-8195, American Chemical Society, Washington, DC, 2020 DOI BibTeX

Miscellaneous Universal Parallel Transmit Pulse Design for 3-D Local-Excitation based on different sized databases of B0/B1+-maps: A 7T Study Geldschläger, O., Shao, T., Herrler, J., Nagel, A., Henning, A. 2020 ISMRM & SMRT Virtual Conference & Exhibition, 2020 BibTeX

Article Visual appearance modulates motor control in social interactions de la Rosa, S., Meilinger, T., Streuber, S., Saulton, A., Fademrecht, L., Quiros-Ramirez, M., Bülthoff, H., Bülthoff, I., Ca nal-Bruland, R. {Acta Psychologica}, 210:1-9, Elsevier, Amsterdam, 2020 DOI BibTeX

Article What are we curious about? Brändle, F., Wu, C., Schulz, E. {Trends in Cognitive Sciences}, 24(9):685-687, Elsevier Current Trends, Kidlington, Oxford, UK, 2020 DOI BibTeX

Miscellaneous What percentage of dots in this image are black? Visual saliency may distort perceived summary statistics Badler, J., Zhaoping, L. Twentieth Annual Meeting of the Vision Sciences Society (VSS 2020), 2020 BibTeX

Article Whole brain snapshot CEST at 3T using 3D-EPI: Aiming for speed, volume, and homogeneity Mueller, S., Stirnberg, R., Akbey, S., Ehses, P., Scheffler, K., Stöcker, T., Zaiss, M. {Magnetic Resonance in Medicine}, 84(5):2469-2483, Wiley-Liss, New York, 2020 DOI BibTeX

Miscellaneous Zebrafish exhibit visual attentional pop-out effects in their behavior Stednitz, S., Li, J., Robson, D., Zhaoping, L. 11th European Zebrafish Meeting, 96, 2020 BibTeX

Miscellaneous pH mapping of brain tissue by a deep neural network trained on 9.4T CEST MRI data: pH-deepCEST Mueller, S., Glang, F., Scheffler, K., Zaiss, M. 2020 ISMRM & SMRT Virtual Conference & Exhibition, 2020 BibTeX

Miscellaneous pulseq-CEST: Towards reproducible CEST experiments using an open source sequence definition standard Herz, K. 8. International Workshop on Chemical Exchange Saturation Transfer Imaging (CEST 2020), 2020 BibTeX

Empirical Inference Conference Paper Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks von Kügelgen, J., Rubenstein, P. K., Schölkopf, B., Weller, A. NeurIPS 2019 Workshop Do the right thing: machine learning and causal inference for improved decision making, December 2019 (Published) arXiv Poster URL BibTeX

Statistical Learning Theory Conference Paper Foundations of Comparison-Based Hierarchical Clustering Ghoshdastidar, D., Perrot, M., von Luxburg, U. Advances in Neural Information Processing Systems 32 (NIPS 2019), NeurIPS, Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Autonomous Learning Conference Paper Assessing Aesthetics of Generated Abstract Images Using Correlation Structure Khajehabdollahi, S., Martius, G., Levina, A. In Proceedings 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 306-313, IEEE, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), December 2019 Arxiv DOI BibTeX

Empirical Inference Conference Paper Fisher Efficient Inference of Intractable Models Liu, S., Kanamori, T., Jitkrittum, W., Chen, Y. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 8790-8800, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Micro, Nano, and Molecular Systems Modern Magnetic Systems Article Soft-magnetic coatings as possible sensors for magnetic imaging of superconductors Ionescu, A., Simmendinger, J., Bihler, M., Miksch, C., Fischer, P., Soltan, S., Schütz, G., Albrecht, J. Supercond. Sci. and Tech., 33:015002, IOP, December 2019 DOI URL BibTeX

Theory of Inhomogeneous Condensed Matter Article Using the fluctuation-dissipation theorem for nonconservative forces Asheichyk, K., Krüger, M. Physical Review Research, 1(3):033151, American Physical Society (APS), College Park, Maryland, United States, December 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper A Model to Search for Synthesizable Molecules Bradshaw, J., Paige, B., Kusner, M. J., Segler, M., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 7935-7947, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Are Disentangled Representations Helpful for Abstract Visual Reasoning? van Steenkiste, S., Locatello, F., Schmidhuber, J., Bachem, O. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 14222-14235, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Autonomous Learning Conference Paper Control What You Can: Intrinsically Motivated Task-Planning Agent Blaes, S., Vlastelica, M., Zhu, J., Martius, G. In Advances in Neural Information Processing Systems (NeurIPS 2019), 12520-12531, Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Accepted) PDF Supplementary material NeurIPS Page Project Page Video Poster BibTeX

Intelligent Control Systems Conference Paper Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources Haksar, R., Solowjow, F., Trimpe, S., Schwager, M. In Proceedings of the 58th IEEE International Conference on Decision and Control (CDC) , 1315-1322, 58th IEEE International Conference on Decision and Control (CDC), December 2019 (Published) PDF BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Convergence Guarantees for Adaptive Bayesian Quadrature Methods Kanagawa, M., Hennig, P. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 6234-6245, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Exploiting the modularity of deep networks to generate visual counterfactuals Besserve, M., Mehrjou, A., Sun, R., Schölkopf, B. NeurIPS 2019 - Workshop on Shared Visual Representations in Human & Machine Intelligence, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Flex-Convolution Groh*, F., Wieschollek*, P., Lensch, H. P. A. Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, 11361:105-122, Lecture Notes in Computer Science, (Editors: Jawahar, C. V. and Li, Hongdong and Mori, Greg and Schindler, Konrad), Springer International Publishing, December 2019, *equal contribution (Published) DOI BibTeX

Article Growing the Humanoid Robotics Community Righetti, L., Sugihara, T., Metta, G., Yamane, K. IEEE Robotics & Automation Magazine, 26:136-137, December 2019 (Published) BibTeX

Haptic Intelligence Article Hierarchical Task-Parameterized Learning from Demonstration for Collaborative Object Movement Hu, S., Kuchenbecker, K. J. Applied Bionics and Biomechanics, (9765383), December 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Invert to Learn to Invert Putzky, P., Welling, M. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 444-454, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Kernel Stein Tests for Multiple Model Comparison Lim, J. N., Yamada, M., Schölkopf, B., Jitkrittum, W. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2240-2250, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Limitations of the empirical Fisher approximation for natural gradient descent Kunstner, F., Hennig, P., Balles, L. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 4158-4169, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Talk Multivariate coupling estimation between continuous signals and point processes Safavi, S., Logothetis, N., Besserve, M. Neural Information Processing Systems 2019 - Workshop on Learning with Temporal Point Processes, December 2019 (Published) Talk video URL BibTeX

Empirical Inference Conference Paper On the Fairness of Disentangled Representations Locatello, F., Abbati, G., Rainforth, T., Bauer, S., Schölkopf, B., Bachem, O. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 14584-14597, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Optics and Sensing Laboratory Autonomous Motion Conference Paper On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Gondal, M. W., Wüthrich, M., Miladinovic, D., Locatello, F., Breidt, M., Volchkov, V., Akpo, J., Bachem, O., Schölkopf, B., Bauer, S. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 15714-15725, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Perceiving the arrow of time in autoregressive motion Meding, K., Janzing, D., Schölkopf, B., Wichmann, F. A. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2303-2314, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Practical and Consistent Estimation of f-Divergences Rubenstein, P. K., Bousquet, O., Djolonga, J., Riquelme, C., Tolstikhin, I. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 4072-4082, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Real Time Probabilistic Models for Robot Trajectories Gomez-Gonzalez, S. Technical University Darmstadt, Germany, December 2019 (Published) BibTeX

Empirical Inference Ph.D. Thesis Robot Learning for Muscular Systems Büchler, D. Technical University Darmstadt, Germany, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Selecting causal brain features with a single conditional independence test per feature Mastakouri, A., Schölkopf, B., Janzing, D. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 12532-12543, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Stochastic Frank-Wolfe for Composite Convex Minimization Locatello, F., Yurtsever, A., Fercoq, O., Cevher, V. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 14246-14256, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Micro, Nano, and Molecular Systems Article Acoustic hologram enhanced phased arrays for ultrasonic particle manipulation Cox, L., Melde, K., Croxford, A., Fischer, P., Drinkwater, B. Phys. Rev. Applied, 12:064055, November 2019 DOI URL BibTeX

Haptic Intelligence Conference Paper Deep Neural Network Approach in Electrical Impedance Tomography-Based Real-Time Soft Tactile Sensor Park, H., Lee, H., Park, K., Mo, S., Kim, J. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (999)7447-7452, IEEE, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Improving Local Trajectory Optimisation using Probabilistic Movement Primitives Shyam, R. A., Lightbody, P., Das, G., Liu, P., Gomez-Gonzalez, S., Neumann, G. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2666-2671, IEEE, International Conference on Intelligent Robots and Systems 2019 (IROS) , November 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Experience Reuse with Probabilistic Movement Primitives Stark, S., Peters, J., Rueckert, E. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1210-1217, IEEE, November 2019 (Published) DOI BibTeX

Movement Generation and Control Conference Paper Learning to Explore in Motion and Interaction Tasks Bogdanovic, M., Righetti, L. Proceedings 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2686-2692, IEEE, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2019, ISSN: 2153-0866 (Published) DOI BibTeX