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Autonomous Learning Empirical Inference Conference Paper Causal Influence Detection for Improving Efficiency in Reinforcement Learning Seitzer, M., Schölkopf, B., Martius, G. In Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 34:22905-22918, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P. S. Liang and J. Wortman Vaughan), Curran Associates, Inc., Red Hook, NY, 35th Conference on Neural Information Processing Systems, December 2021 (Published) arXiv PDF Data Code URL BibTeX
Empirical Inference Autonomous Learning Conference Paper Hierarchical Reinforcement Learning with Timed Subgoals Gürtler, N., Büchler, D., Martius, G. In Advances in Neural Information Processing Systems 34, 26:21732-21743, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P. S. Liang and J. Wortman Vaughan), Curran Associates, Inc., Red Hook, NY, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021 (Published) video arXiv code URL BibTeX
Autonomous Learning Conference Paper Planning from Pixels in Environments with Combinatorially Hard Search Spaces Bagatella, M., Olšák, M., Rolínek, M., Martius, G. In Advances in Neural Information Processing Systems 34, 30:24707-24718, Curran Associates, Inc., Red Hook, NY, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021 (Published) URL BibTeX
Autonomous Learning Conference Paper Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Gumbsch, C., Butz, M. V., Martius, G. In Advances in Neural Information Processing Systems 34, 21:17518-17531, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P. S. Liang and J. Wortman Vaughan), Curran Associates, Inc., Red Hook, NY, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021 (Published) arXiv Openreview URL BibTeX
Autonomous Learning Article Falsification of hybrid systems with symbolic reachability analysis and trajectory splicing Bogomolov, B. S., Frehse, G., Gurung, A., Li, D., Martius, G., Ray, R. Nonlinear Analysis: Hybrid Systems, 42:101093, Elsevier, November 2021 (Published) DOI URL BibTeX
Autonomous Learning Conference Paper Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths Hornakova, A. K. T. S. P. R. M. R. B. H. R. Proceedings 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), :6310-6320, IEEE, ICCV, October 2021 (Published) DOI BibTeX
Autonomous Learning Conference Paper CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints Paulus, A., Rolínek, M., Musil, V., Amos, B., Martius, G. In Proceedings of the 38th International Conference on Machine Learning, 139:8443-8453, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, The Thirty-eighth International Conference on Machine Learning (ICML), July 2021 () Arxiv Code Pdf Spotlight video @ ICML 2021 Poster @ ICML 2021 URL BibTeX
Autonomous Learning Conference Paper Demystifying Inductive Biases for (Beta-)VAE Based Architectures Zietlow, D., Rolinek, M., Martius, G. In Proceedings of the 2021 International Conference on Machine Learning (ICML), 139:12945-12954, Proceedings of Machine Learning Research , The 38th International Conference on Machine Learning (ICML 2021), July 2021 (Published) Arxiv PDF Paper @ ICML 2021 (spotlight video) URL BibTeX
Autonomous Learning Conference Paper Neuro-algorithmic Policies Enable Fast Combinatorial Generalization Vlastelica, M., Rolinek, M., Martius, G. In Proceedings of the 2021 International Conference on Machine Learning (ICML), The Thirty-eighth International Conference on Machine Learning (ICML), July 2021 () arXiv Spotlight PDF BibTeX
Autonomous Learning Conference Paper The dynamical regime and its importance for evolvability, task performance and generalization Prosi, J., Khajehabdollahi, S., Giannakakis, E., Martius, G., Levina, A. In The 2021 Conference on Artificial Life, MIT Press, July 2021 () PDF DOI URL BibTeX
Autonomous Motion Autonomous Learning Article How to Train Your Differentiable Filter Kloss, A., Martius, G., Bohg, J. Autonomous Robots, 45(4):561-578, Springer, June 2021 (Published) arXiv paper DOI URL BibTeX
Autonomous Learning Conference Paper Extracting Strong Policies for Robotics Tasks from Zero-order Trajectory Optimizers Pinneri*, C., Sawant*, S., Blaes, S., Martius, G. In The Ninth International Conference on Learning Representations (ICLR), 9th International Conference on Learning Representations (ICLR 2021) , May 2021, *equal contribution (Published) OpenReview URL BibTeX
Autonomous Learning Conference Paper Self-supervised Visual Reinforcement Learning with Object-centric Representations Zadaianchuk*, A., Seitzer*, M., Martius, G. In 9th International Conference on Learning Representations (ICLR 2021), May 2021, *equal contribution () Arxiv Code Paper @ ICLR 2021 (spotlight video) OpenReview BibTeX
Autonomous Learning Article Machine learning time-local generators of open quantum dynamics Mazza, P. P., Zietlow, D., Carollo, F., Andergassen, S., Martius, G., Lesanovsky, I. Physical Review Research, 3(2):023084, April 2021 (Published) pdf DOI BibTeX
Autonomous Learning Article Emergent Goal-Anticipatory Gaze in Infants via Event-Predictive Learning and Inference Gumbsch, C., Adam, M., Elsner, B., Butz, M. V. Cognitive Science, 45(8), Wiley, January 2021 () DOI URL BibTeX
Autonomous Learning Haptic Intelligence Patent Method for force inference, method for training a feed-forward neural network, force inference module, and sensor arrangement Sun, H., Martius, G., Kuchenbecker, K. J. (PCT/EP2021/050231), Max Planck Institute for Intelligent Systems, Max Planck Ring 4, January 2021 () BibTeX
Autonomous Learning Haptic Intelligence Patent Sensor Arrangement for Sensing Forces and Methods for Fabricating a Sensor Arrangement and Parts Thereof Sun, H., Martius, G., Kuchenbecker, K. J. (PCT/EP2021/050230), Max Planck Institute for Intelligent Systems, Max Planck Ring 4, January 2021 () BibTeX
Autonomous Learning Article A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks Landgraf, C., Meese, B., Pabst, M., Martius, G., Huber, M. F. Sensors, 21(6):2030, MDPI, 2021 (Published) DOI BibTeX
Autonomous Learning Article Editorial: Complexity and Self-Organization Gershenson, C., Polani, D., Martius, G. Frontiers in Robotics and AI, 8, 2021 () DOI URL BibTeX
Autonomous Learning Miscellaneous Informed Equation Learning Werner, M., Junginger, A., Hennig, P., Martius, G. arXiv, 2021 () URL BibTeX
Autonomous Learning Article Jumping over baselines with new methods to predict activation maps from resting-state fMRI Lacosse, E., Scheffler, K., Lohmann, G., Martius, G. Scientific Reports, 11:3480, Nature Group, 2021 (Published) DOI BibTeX
Autonomous Learning Article Self-tuning serverless task farming using proactive elasticity control Kehrer, S., Zietlow, D., Scheffold, J., Blochinger, W. Cluster Computing, 24(2):799-817, Springer, 2021 (Published) DOI BibTeX
Autonomous Learning Article The Impact of Action Effects on Infants’ Predictive Gaze Shifts for a Non-Human Grasping Action at 7, 11, and 18 Months Adam, M., Gumbsch, C., Butz, M. V., Elsner, B. Frontiers in Psychology, 12:695550, 2021 (Published) DOI URL BibTeX