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


Modern Magnetic Systems Thesis Voltage dependent interfacial magnetism in multilayer systems Nacke, R. Universität Stuttgart, Stuttgart, December 2020 () BibTeX

Dynamic Locomotion Article Virtual Point Control for Step-down Perturbations and Downhill Slopes in Bipedal Running Drama, Ö., Badri-Spröwitz, A. Frontiers in Bioengineering and Biotechnology, 8:586534, Frontiers Media, December 2020 (Published) DOI URL BibTeX

Empirical Inference Conference Paper A Class of Algorithms for General Instrumental Variable Models Kilbertus, N., Kusner, M. J., Silva, R. Advances of Neural Information Processing Systems 33 (NeurIPS 2020), 33:20108-20119, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates Inc., 34th Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Park, J., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :21247-21259, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Karimi*, A., von Kügelgen*, J., Schölkopf, B., Valera, I. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :265-277, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Barking up the right tree: an approach to search over molecule synthesis DAGs Bradshaw, J., Paige, B., Kusner, M., Segler, M., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :6852-6866, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Causal Feature Selection in Neuroscience Mastakouri, A. University of Tübingen, Germany, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Causal analysis of Covid-19 Spread in Germany Mastakouri, A., Schölkopf, B. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :3153-3163, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Haptic Intelligence Ph.D. Thesis Delivering Expressive and Personalized Fingertip Tactile Cues Young, E. M. University of Pennsylvania, Philadelphia, PA, December 2020, Department of Mechanical Engineering and Applied Mechanics () BibTeX

Empirical Inference Conference Paper Dual Instrumental Variable Regression Muandet, K., Mehrjou, A., Lee, S. K., Raj, A. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :2710-2721, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Autonomous Vision Conference Paper GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Schwarz, K., Liao, Y., Niemeyer, M., Geiger, A. In Advances in Neural Information Processing Systems 33, 25:20154-20166, (Editors: Larochelle , H. and Ranzato, M. and Hadsell , R. and Balcan , M. F. and Lin, H.), Curran Associates, Inc., Red Hook, NY, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), December 2020 (Published) pdf suppmat video Project Page URL BibTeX

Rationality Enhancement Article Improving Human Decision-Making using Metalevel-RL and Bayesian Inference Kemtur, A., Jain, Y. R., Mehta, A., Callaway, F., Consul, S., Stojcheski, J., Lieder, F. NeurIPS Workshop on Challenges for Real-World RL, December 2020, Accepted (Accepted) Improving Human Decision-Making using Metalevel-RL and Bayesian Inference BibTeX

Empirical Inference Conference Paper Learning Kernel Tests Without Data Splitting Kübler, J. M., Jitkrittum, W., Schölkopf, B., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :6245-6255, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Modeling Shared responses in Neuroimaging Studies through MultiView ICA Richard, H., Gresele, L., Hyvärinen, A., Thirion, B., Gramfort, A., Ablin, P. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :19149-19162, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., Red Hook, NY, 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Object-Centric Learning with Slot Attention Locatello, F., Weissenborn, D., Unterthiner, T., Mahendran, A., Heigold, G., Uszkoreit, J., Dosovitskiy, A., Kipf, T. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :11525-11538, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Movement Generation and Control Article On the use of simulation in robotics: Opportunities challenges, and suggestions for moving forward Choi, H., Crump, C., Duriez, C., Elmquist, A., Hager, G., Han, D., Hearl, F., Hodgins, J., Jain, A., Leve, F., et al. PNAS, 118(1), December 2020 (Published) DOI BibTeX

Empirical Inference Conference Paper Probabilistic Linear Solvers for Machine Learning Wenger, J., Hennig, P. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :6731-6742, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Relative gradient optimization of the Jacobian term in unsupervised deep learning Gresele, L., Fissore, G., Javaloy, A., Schölkopf, B., Hyvarinen, A. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :16567-16578, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining Tripp, A., Daxberger, E., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :11259-11272, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Self-Paced Deep Reinforcement Learning Klink, P., D’Eramo, C., Peters, J., Pajarinen, J. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :9216-9227, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Stochastic Stein Discrepancies Gorham, J., Raj, A., Mackey, L. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :17931-17942, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Haptic Intelligence Conference Paper Synchronicity Trumps Mischief in Rhythmic Human-Robot Social-Physical Interaction Fitter, N. T., Kuchenbecker, K. J. In Robotics Research, 10:269-284, Springer Proceedings in Advanced Robotics, (Editors: Amato, Nancy M. and Hager, Greg and Thomas, Shawna and Torres-Torriti, Miguel), Springer, Cham, 18th International Symposium on Robotics Research (ISRR 2017), 2020 (Published) DOI BibTeX

Empirical Inference Conference Paper Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem Zhu, J., Jitkrittum, W., Diehl, M., Schölkopf, B. In 59th IEEE Conference on Decision and Control (CDC), :3457-3463, IEEE, December 2020 (Published) arXiv DOI BibTeX

Empirical Inference Conference Paper MATE: Plugging in Model Awareness to Task Embedding for Meta Learning Chen, X., Wang, Z., Tang, S., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :11865-11877, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Dynamic Locomotion Article Postural stability in human running with step-down perturbations: an experimental and numerical study Drama, Ö., Vielemeyer, J., Badri-Spröwitz, A., Müller, R. Royal Society Open Science, 7(11):200570, November 2020 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning Shaj, V., Becker, P., Büchler, D., Pandya, H., van Duijkeren, N., Taylor, C. J., Hanheide, M., Neumann, G. Proceedings of the 4th Conference on Robot Learning (CoRL), 155:765-781, Proceedings of Machine Learning Research, (Editors: Jens Kober and Fabio Ramos and Claire J. Tomlin), PMLR, November 2020 (Published) PDF URL BibTeX

Empirical Inference Conference Paper Advances in Human-Robot Handshaking Prasad, V., Stock-Homburg, R., Peters, J. Social Robotics - 12th International Conference (ICSR), 12483:478-489, Lecture Notes in Computer Science, (Editors: Wager, A. R. and Feil-Seifer, D. and Haring, K. S. and Rossi, S. and Willians, T. and He, H. and Sam Ge, S.), Springer, November 2020 (Published) DOI BibTeX

Empirical Inference Ph.D. Thesis Enforcing and Discovering Structure in Machine Learning Locatello, F. ETH Zurich, Switzerland, November 2020, (CLS Fellowship Program) (Published) BibTeX

Perceiving Systems Empirical Inference Conference Paper Grasping Field: Learning Implicit Representations for Human Grasps Karunratanakul, K., Yang, J., Zhang, Y., Black, M., Muandet, K., Tang, S. In 2020 International Conference on 3D Vision (3DV 2020), :333-344, IEEE, Piscataway, NJ, International Conference on 3D Vision (3DV 2020), November 2020 (Published) pdf arXiv code DOI BibTeX

Empirical Inference Conference Paper High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards Ploeger, K., Lutter, M., Peters, J. Proceedings of the 4th Conference on Robot Learning (CoRL), 155:642-653, Proceedings of Machine Learning Research, (Editors: Jens Kober and Fabio Ramos and Claire J. Tomlin), PMLR, November 2020 (Published) URL BibTeX

Autonomous Learning Haptic Intelligence Robotics Patent Method for Force Inference of a Sensor Arrangement, Methods for Training Networks, Force Inference Module and Sensor Arrangement Sun, H., Martius, G., Lee, H., Spiers, A., Fiene, J. (PCT/EP2020/083261), Max Planck Institute for Intelligent Systems, Max Planck Ring 4, November 2020 () BibTeX

Physics for Inference and Optimization Article Network extraction by routing optimization Baptista, T. D., Leite, D., Facca, E., Putti, M., De Bacco, C. Scientific Reports, 10:20806, November 2020 (Published) Code Preprint DOI URL BibTeX

Perceiving Systems Article Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context Wang, C., Fu, H., Tao, D., Black, M. J. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(5):2641-2656, November 2020 (Published) official version DOI BibTeX

Autonomous Learning Haptic Intelligence Robotics Patent Sensor Arrangement for Sensing Forces and Method for Farbricating a Sensor Arrangement Spiers, A., Sun, H., Lee, H., Martius, G., Fiene, J., Seo, W. H. (PCT/EP2020/083260), November 2020 () BibTeX

Empirical Inference Conference Paper Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis Xing, X., Jin, Z., Jin, D., Wang, B., Zhang, Q., Huang, X. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), :3594-3605, (Editors: Bonnie Webber, Trevor Cohn, Yulan He, and Yang Liu), Association for Computational Linguistics, Online, November 2020 (Published) PDF DOI URL BibTeX

Empirical Inference Autonomous Motion Movement Generation and Control Conference Paper TriFinger: An Open-Source Robot for Learning Dexterity Wüthrich, M., Widmaier, F., Grimminger, F., Akpo, J., Joshi, S., Agrawal, V., Hammoud, B., Khadiv, M., Bogdanovic, M., Berenz, V., et al. Proceedings of the 4th Conference on Robot Learning (CoRL), 155:1871-1882, Proceedings of Machine Learning Research, (Editors: Jens Kober and Fabio Ramos and Claire J. Tomlin), PMLR, November 2020 (Published) PDF URL BibTeX

Haptic Intelligence Miscellaneous Utilizing Interviews and Thematic Analysis to Uncover Specifications for a Companion Robot Burns, R. B., Seifi, H., Lee, H., Kuchenbecker, K. J. Workshop paper (2 pages) presented at the ICSR Workshop on Enriching HRI Research with Qualitative Methods, Virtual, November 2020 (Published) URL BibTeX

Perceiving Systems Conference Paper GIF: Generative Interpretable Faces Ghosh, P., Gupta, P. S., Uziel, R., Ranjan, A., Black, M. J., Bolkart, T. In 2020 International Conference on 3D Vision (3DV 2020), 1:868-878, IEEE, Piscataway, NJ, International Conference on 3D Vision (3DV 2020), November 2020 (Published) pdf project code video DOI BibTeX

Perceiving Systems Conference Paper PLACE: Proximity Learning of Articulation and Contact in 3D Environments Zhang, S., Zhang, Y., Ma, Q., Black, M. J., Tang, S. In 2020 International Conference on 3D Vision (3DV 2020), 1:642-651, IEEE, Piscataway, NJ, International Conference on 3D Vision (3DV 2020), November 2020 (Published) pdf arXiv project code DOI BibTeX

Dynamic Locomotion Article 3D Anatomy of the Quail Lumbosacral Spinal Canal—Implications for Putative Mechanosensory Function Kamska, V., Daley, M., Badri-Spröwitz, A. Integrative Organismal Biology, 2(1):obaa037, Oxford University Press, October 2020 (Published) 3d model Youtube DOI BibTeX

Movement Generation and Control Conference Paper Enabling Remote Whole-Body Control with 5G Edge Computing Zhu, H., Sharma, M., Pfeiffer, K., Mezzavilla, M., Shen, J., Rangan, S., Righetti, L. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), :3553-3560, IEEE, Piscataway, NJ, USA, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2020, Accepted (Accepted) DOI URL BibTeX

Dynamic Locomotion Conference Paper Simulating the response of a neuro-musculoskeletal model to assistive forces: implications for the design of wearables compensating for motor control deficits Stollenmaier, K., Rist, I., Izzi, F., Haeufle, D. F. In 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob 2020), :779-784, IEEE, Piscataway, NJ, 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob 2020), October 2020 (Published) DOI BibTeX

Perceiving Systems Article 3D Morphable Face Models - Past, Present and Future Egger, B., Smith, W. A. P., Tewari, A., Wuhrer, S., Zollhoefer, M., Beeler, T., Bernard, F., Bolkart, T., Kortylewski, A., Romdhani, S., et al. ACM Transactions on Graphics, 39(5):157, October 2020 (Published) project page pdf preprint DOI BibTeX

Dynamic Locomotion Intelligent Control Systems Article A Learnable Safety Measure Heim, S., Rohr, A. V., Trimpe, S., Badri-Spröwitz, A. Proceedings of the Conference on Robot Learning, 100:627-639, Proceedings of Machine Learning Research, (Editors: Kaelbling, Leslie Pack and Kragic, Danica and Sugiura, Komei), PMLR, Conference on Robot Learning, October 2020 (Published) Arxiv BibTeX

Perceiving Systems Article AirCapRL: Autonomous Aerial Human Motion Capture Using Deep Reinforcement Learning Tallamraju, R., Saini, N., Bonetto, E., Pabst, M., Liu, Y. T., Black, M., Ahmad, A. IEEE Robotics and Automation Letters, 5(4):6678-6685, IEEE, October 2020, Also accepted and presented in the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). (Published) DOI URL BibTeX