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Human Aspects of Machine Learning

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2022

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Empirical Inference Autonomous Learning Conference Paper Advancing Out-of-Distribution Detection via Local Neuroplasticity Canevaro, A., Schmidt, J., Marvi, M. S., Yu, H., Martius, G., Jordan, J. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Autonomous Learning Conference Paper On the Transfer of Object-Centric Representation Learning Didolkar, A. R., Zadaianchuk, A., Goyal, A., Mozer, M. C., Bengio, Y., Martius, G., Seitzer, M. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Autonomous Learning Conference Paper Multi-View Causal Representation Learning with Partial Observability Yao, D., Xu, D., Lachapelle, S., Magliacane, S., Taslakian, P., Martius, G., von Kügelgen, J., Locatello, F. The Twelfth International Conference on Learning Representations (ICLR), May 2024 (Published) arXiv BibTeX
Autonomous Learning Conference Paper Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision Mattamala, M., Frey, J., Libera, P., Chebrolu, N., Martius, G., Cadena, C., Hutter, M., Fallon, M. April 2024, Accepted (Accepted) URL BibTeX
Autonomous Learning Conference Paper Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements Charaja, J. P., Wochner, I., Schumacher, P., Ilg, W., Giese, M., Maufroy, C., Bulling, A., Schmitt, S., Martius, G., Haeufle, D. F. Proceedings 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), :562-568, IEEE, 2024 10TH IEEE RAS/EMBS INTERNATIONAL CONFERENCE FOR BIOMEDICAL ROBOTICS\nAND BIOMECHATRONICS, BIOROB, February 2024 (Published) DOI URL BibTeX
Autonomous Learning Conference Paper Active Fine-Tuning of Generalist Policies Bagatella, M., Hübotter, J., Martius, G., Krause, A. October 2024, Submitted (Submitted) BibTeX
Autonomous Learning Conference Paper Improving Behavioural Cloning with Positive Unlabeled Learning Wang, Q., McCarthy, R., Bulens, D. C., McGuinness, K., O’Connor, N. E., Sanchez, F. R., Gürtler, N., Widmaier, F., Redmond, S. J. 7th Annual Conference on Robot Learning (CoRL), November 2023, Accepted (Accepted) BibTeX
Empirical Inference Autonomous Learning Robust Machine Learning Conference Paper Embrace the Gap: VAEs Perform Independent Mechanism Analysis Reizinger*, P., Gresele*, L., Brady*, J., von Kügelgen, J., Zietlow, D., Schölkopf, B., Martius, G., Brendel, W., Besserve, M. Advances in Neural Information Processing Systems (NeurIPS 2022), 35:12040-12057, (Editors: S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh), Curran Associates, Inc., 36th Annual Conference on Neural Information Processing Systems, December 2022, *equal first authorship (Published) Arxiv PDF URL BibTeX
Autonomous Learning Conference Paper Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations Li, C., Vlastelica, M., Blaes, S., Frey, J., Grimminger, F., Martius, G. Proceedings of the 6th Conference on Robot Learning (CoRL), Conference on Robot Learning (CoRL), December 2022, Accepted (Accepted) Arxiv Videos Project URL BibTeX
Empirical Inference Autonomous Learning Conference Paper Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Wochner, I., Schumacher, P., Martius, G., Büchler, D., Schmitt, S., Haeufle, D. Proceedings of the 6th Conference on Robot Learning (CoRL), 205:1178-1188, Proceedings of Machine Learning Research, (Editors: Liu, Karen and Kulic, Dana and Ichnowski, Jeff), PMLR, December 2022 (Published) URL BibTeX
Empirical Inference Autonomous Learning Conference Paper Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World Gürtler, N., Widmaier, F., Sancaktar, C., Blaes, S., Kolev, P., Bauer, S., Wüthrich, M., Wulfmeier, M., Riedmiller, M., Allshire, A., et al. Proceedings of the NeurIPS 2022 Competitions Track, 220:133-150, Proceedings of Machine Learning Research, (Editors: Ciccone, Marco and Stolovitzky, Gustavo and Albrecht, Jacob), PMLR, December 2022 (Published) URL BibTeX
Empirical Inference Autonomous Learning Conference Paper Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers Zietlow, D., Lohaus, M., Balakrishnan, G., Kleindessner, M., Locatello, F., Schölkopf, B., Russell, C. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), :10410-10421, June 2022 (Published) arXiv URL BibTeX
Autonomous Learning Conference Paper On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks Seitzer, M., Tavakoli, A., Antic, D., Martius, G. International Conference on Learning Representations (ICLR 2022), Tenth International Conference on Learning Representations (ICLR 2022) , April 2022 (Published) URL BibTeX
Autonomous Learning Conference Paper Orchestrated Value Mapping for Reinforcement Learning Fatemi, M., Tavakoli, A. International Conference on Learning Representations, April 2022 () 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
Empirical Inference Autonomous Learning Conference Paper Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Hybrid Model Predictive Control Zhu, J., Martius, G. IFAC-PapersOnLine, 21rst IFAC World Congress, 53(2):5239-5245, Elsevier, Amsterdam, 21rst IFAC World Congress, July 2020 (Published) arXiv DOI URL BibTeX
Empirical Inference Autonomous Learning Autonomous Motion Movement Generation and Control Conference Paper A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models Agudelo-España, D., Zadaianchuk, A., Wenk, P., Garg, A., Akpo, J., Grimminger, F., Viereck, J., Naveau, M., Righetti, L., Martius, G., et al. IEEE International Conference on Robotics and Automation (ICRA), :8151-8157, IEEE, 2020 (Published) Project Page PDF DOI BibTeX
Autonomous Learning Conference Paper Robust Affordable 3D Haptic Sensation via Learning Deformation Patterns Sun, H., Martius, G. Proceedings International Conference on Humanoid Robots, :846-853, IEEE, New York, NY, USA, 2018 IEEE-RAS International Conference on Humanoid Robots, 2018, Oral Presentation () DOI BibTeX