Publications
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
Autonomous Learning
Robotics
Conference Paper
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality
Cheng, J., Vlastelica, M., Kolev, P., Li, C., Martius, G.
In Learning Diverse Skills for Local Navigation under Multi-constraint Optimality, :5083-5089, ICRA, October 2024 (Published)
Website
DOI
URL
BibTeX
Empirical Inference
Autonomous Learning
Conference Paper
Learning to Control Emulated Muscles in Real Robots: A Software Test Bed for Bio-Inspired Actuators in Hardware
Schumacher, P., Krause, L., Schneider, J., Büchler, D., Martius, G., Haeufle, D.
In Proceedings 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob), :806-813, IEEE, 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob), September 2024 (Published)
arXiv
DOI
URL
BibTeX
Autonomous Learning
Conference Paper
Causal Action Influence Aware Counterfactual Data Augmentation
Urpi, N. A., Bagatella, M., Vlastelica, M., Martius, G.
In Proceedings of the 41st International Conference on Machine Learning (ICML), 235:1709-1729, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Paulus, A., Martius, G., Musil, V.
In Proceedings of the 41st International Conference on Machine Learning (ICML), 235:39989-40014, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Learning with 3D rotations, a hitchhiker’s guide to SO(3)
Geist, A. R., Frey, J., Zhobro, M., Levina, A., Martius, G.
In Proceedings of Machine Learning Research, Proceedings of the Forty-First International Conference on Machine Learning , 235:15331-15350, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), Forty-First International Conference on Machine Learning , July 2024 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Modelling Microbial Communities with Graph Neural Networks
Ruaud, A., Sancaktar, C., Bagatella, M., Ratzke, C., Martius, G.
In Proceedings of the 41st International Conference on Machine Learning (ICML), 235:42742-42765, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
Khajehabdollahi, S., Zeraati, R., Giannakakis, E., Schäfer, T. J., Martius, G., Levina, A.
In The Twelfth International Conference on Learning Representations, ICLR 2024, May 2024 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
Gumbsch, C., Sajid, N., Martius, G., Butz, M. V.
In The Twelfth International Conference on Learning Representations, ICLR 2024, May 2024 ()
URL
BibTeX
Empirical Inference
Autonomous Learning
Conference Paper
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
Spieler, A., Rahaman, N., Martius, G., Schölkopf, B., Levina, A.
In The Twelfth International Conference on Learning Representations (ICLR), May 2024 (Published)
arXiv
BibTeX
Autonomous Learning
Conference Paper
Zero-Shot Object-Centric Representation Learning
Didolkar, A., Zadaianchuk, A., Goyal, A., Mozer, M., Bengio, Y., Martius, G., Seitzer, M.
In Zero-Shot Object-Centric Representation Learning, August 2024, Accepted (Accepted)
URL
BibTeX
Autonomous Learning
Conference Paper
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
Kolev, P., Vlastelica, M., Martius, G.
In Seventeenth European Workshop on Reinforcement Learning, August 2024, Accepted (Accepted)
URL
BibTeX
Autonomous Learning
Conference Paper
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Sancaktar, C., Gumbsch, C., Zadaianchuk, A., Kolev, P., Martius, G.
In The Training Agents with Foundation Models Workshop at RLC, 2024, indicates equal contribution (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
On Imitation in Mean-field Games
Ramponi, G., Kolev, P., Olivier, P., He, N., Laurière, M., Geist, M.
In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :1-12, Curran Associates Inc., NeurIPS, December 2023 (Published)
DOI
URL
BibTeX
Autonomous Learning
Conference Paper
Goal-conditioned Offline Planning from Curious Exploration
Bagatella, M., Martius, G.
In Advances in Neural Information Processing Systems 36, December 2023 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Zadaianchuk, A., Seitzer, M., Martius, G.
In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), Advances in Neural Information Processing Systems 36, December 2023 ()
arXiv
Website
OpenReview
URL
BibTeX
Autonomous Learning
Conference Paper
Online Learning under Adversarial Nonlinear Constraints
Kolev, P., Martius, G., Muehlebach, M.
In Advances in Neural Information Processing Systems 36, December 2023 ()
URL
BibTeX
Autonomous Learning
Conference Paper
Regularity as Intrinsic Reward for Free Play
Sancaktar, C., Piater, J., Martius, G.
In Advances in Neural Information Processing Systems 37, December 2023 ()
Website
Code
URL
BibTeX
Autonomous Learning
Conference Paper
Backpropagation through Combinatorial Algorithms: Identity with Projection Works
Sahoo, S., Paulus, A., Vlastelica, M., Musil, V., Kuleshov, V., Martius, G.
In Proceedings of the Eleventh International Conference on Learning Representations, May 2023, Accepted (Accepted)
OpenReview
Arxiv
Pdf
URL
BibTeX
Autonomous Learning
Empirical Inference
Conference Paper
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Gürtler, N., Blaes, S., Kolev, P., Widmaier, F., Wüthrich, M., Bauer, S., Schölkopf, B., Martius, G.
In Proceedings of the Eleventh International Conference on Learning Representations, The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published)
Website
arXiv
Code
URL
BibTeX
Autonomous Learning
Empirical Inference
Conference Paper
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Schumacher, P., Haeufle, D. F., Büchler, D., Schmitt, S., Martius, G.
In The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published)
Arxiv
pdf
Website
URL
BibTeX
Autonomous Learning
Empirical Inference
Conference Paper
Bridging the Gap to Real-World Object-Centric Learning
Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Simon-Gabriel, C., He, T., Zhang, Z., Schölkopf, B., Brox, T., et al.
In Proceedings of the Eleventh International Conference on Learning Representations, The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published)
Code
Website
URL
BibTeX
Autonomous Learning
Conference Paper
Efficient Learning of High Level Plans from Play
Armengol Urpi, N., Bagatella, M., Hilliges, O., Martius, G., Coros, S.
In International Conference on Robotics and Automation, 2023, Accepted (Accepted)
Arxiv
Website
Poster
BibTeX
Autonomous Learning
Conference Paper
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
Eberhard, O., Hollenstein, J., Pinneri, C., Martius, G.
In Proceedings of the Eleventh International Conference on Learning Representations (ICLR), The Eleventh International Conference on Learning Representations (ICLR), May 2023 ()
URL
BibTeX
Autonomous Learning
Conference Paper
Regularity as Intrinsic Reward for Free Play
Sancaktar, C., Piater, J., Martius, G.
In Advances in Neural Information Processing Systems (NeurIPS, Advances in Neural Information Processing Systems 36, September 2023 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Sancaktar, C., Blaes, S., Martius, G.
In Advances in Neural Information Processing Systems 35 (NeurIPS 2022), :24170-24183 , Curran Associates, Inc., 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), December 2022 (Published)
Arxiv
Videos
Openreview
URL
BibTeX
Autonomous Learning
Conference Paper
Risk-Averse Zero-Order Trajectory Optimization
Vlastelica*, M., Blaes*, S., Pinneri, C., Martius, G.
In Conference on Robot Learning, 164, PMLR, 5th Conference on Robot Learning (CoRL 2021) , 2022, *Equal Contribution (Published)
OpenReview
PDF
URL
BibTeX
Autonomous Learning
Conference Paper
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Zadaianchuk, A., Martius, G., Yang, F.
In Proceedings of the 5th Conference on Robot Learning (CoRL 2021) , 164:384-394, PMLR, 5th Conference on Robot Learning (CoRL 2021) , 2022 (Published)
Arxiv
Openreview
Poster
URL
BibTeX
Autonomous Learning
Conference Paper
Developing hierarchical anticipations via neural network-based event segmentation
Gumbsch, C., Adam, M., Elsner, B., Martius, G., Butz, M. V.
In Proceedings of the IEEE International Conference on Development and Learning (ICDL 2022), :1-8, 2022 IEEE International Conference on Development and Learning (ICDL), September 2022 ()
URL
BibTeX
Perceiving Systems
Autonomous Learning
Conference Paper
InvGAN: Invertible GANs
Ghosh, P., Zietlow, D., Black, M. J., Davis, L. S., Hu, X.
In Pattern Recognition, :3-19, Lecture Notes in Computer Science, 13485, (Editors: Andres, Björn and Bernard, Florian and Cremers, Daniel and Frintrop, Simone and Goldlücke, Bastian and Ihrke, Ivo), Springer, Cham, 44th DAGM German Conference on Pattern Recognition (DAGM GCPR 2022), September 2022 (Published)
pdf
DOI
BibTeX
Autonomous Learning
Conference Paper
Uncertainty in Equation Learning
Werner, M., Junginger, A., Hennig, P., Martius, G.
In GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO), :2298-2305, ACM, Genetic and Evolutionary Computation Conference (GECCO 2022) , 2022 (Published)
Paper PDF
DOI
URL
BibTeX
Autonomous Learning
Conference Paper
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Sancaktar, C., Blaes, S., Martius, G.
In Advances in Neural Information Processing Systems (NeurIPS), October 2022 (Published)
URL
BibTeX
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
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 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
Conference Paper
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Rolínek, M., Swoboda, P., Zietlow, D., Paulus, A., Musil, V., Martius, G.
In Computer Vision – ECCV 2020, 28:407-424, Lecture Notes in Computer Science, 12373, (Editors: Vedaldi, Andrea and Bischof, Horst and Brox, Thomas and Frahm, Jan-Michael), Springer, Cham, 16th European Conference on Computer Vision (ECCV 2020) , August 2020 (Published)
Code
Arxiv
Long Spotlight
Short Spotlight
pdf
DOI
BibTeX
Autonomous Learning
Conference Paper
Optimizing Rank-based Metrics with Blackbox Differentiation
Rolínek, M., Musil, V., Paulus, A., Vlastelica, M., Michaelis, C., Martius, G.
In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), :7617 - 7627, IEEE, Piscataway, NJ, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 2020, Best paper nomination (Published)
Paper @ CVPR2020
Long Oral
Short Oral
Arxiv
Code
Pdf
DOI
URL
BibTeX
Haptic Intelligence
Autonomous Learning
Conference Paper
Calibrating a Soft ERT-Based Tactile Sensor with a Multiphysics Model and Sim-to-real Transfer Learning
Lee, H., Park, H., Serhat, G., Sun, H., Kuchenbecker, K. J.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), :1632-1638, IEEE International Conference on Robotics and Automation (ICRA 2020), May 2020 (Published)
DOI
BibTeX
Autonomous Learning
Conference Paper
Differentiation of Blackbox Combinatorial Solvers
Vlastelica*, M., Paulus*, A., Musil, V., Martius, G., Rolínek, M.
In International Conference on Learning Representations, ICLR’20, May 2020, *Equal Contribution ()
Arxiv
Code
pdf
URL
BibTeX
Autonomous Learning
Embodied Vision
Conference Paper
Sample-efficient Cross-Entropy Method for Real-time Planning
Pinneri, C., Sawant, S., Blaes, S., Achterhold, J., Stueckler, J., Rolinek, M., Martius, G.
In Conference on Robot Learning 2020, 2020 (Published)
Paper
Code
Spotlight-Video
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
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 (Accepted)
PDF
Supplementary material
NeurIPS Page
Project Page
Video
Poster
BibTeX
Autonomous Learning
Conference Paper
Variational Autoencoders Pursue PCA Directions (by Accident)
Rolinek, M., Zietlow, D., Martius, G.
In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), :12406-12415, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019 ()
Arxiv
URL
BibTeX
Autonomous Learning
Conference Paper
Falsification of hybrid systems using symbolic reachability and trajectory splicing
Bogomolov, S., Frehse, G., Gurung, A., Li, D., Martius, G., Ray, R.
In Proceedings International Conference on Hybrid Systems: Computation and Control (HSCC ’19), :1-10, ACM, International Conference on Hybrid Systems: Computation and Control (HSCC '19), April 2019 (Published)
Personal Copy
DOI
BibTeX