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Perceiving Systems Article EarthRanger: An Open-Source Platform for Ecosystem Monitoring, Research, and Management Wall, J., Lefcourt, J., Jones, C., Doehring, C., O’Neill, D., Schneider, D., Steward, J., Krautwurst, J., Wong, T., Jones, B., et al. Methods in Ecology and Evolution, 13, British Ecological Society, September 2024 (Published) pdf DOI BibTeX
Perceiving Systems Conference Paper GraspXL: Generating Grasping Motions for Diverse Objects at Scale Zhang, H., Christen, S., Fan, Z., Hilliges, O., Song, J. In European Conference on Computer Vision (ECCV 2024), Part XXVI:386-403, LNCS, Springer Cham, September 2024 (Published) Code Video Paper DOI URL BibTeX
Autonomous Learning Robotics Article Identifying Terrain Physical Parameters from Vision-Towards Physical-Parameter-Aware Locomotion and Navigation Chen, J., Frey, J., Zhou, R., Miki, T., Martius, G., Hutter, M. IEEE Robotics and Automation Letters, Identifying Terrain Physical Parameters From Vision, 9(11):9279-9286, August 2024, Submitted (Submitted) DOI URL BibTeX
Autonomous Learning Miscellaneous Directed Exploration in Reinforcement Learning from Linear Temporal Logic Bagatella, M., Krause, A., Martius, G. August 2024, In revision (In revision) URL BibTeX
Empirical Inference Perceiving Systems Technical Report Can Large Language Models Understand Symbolic Graphics Programs? Qiu, Z., Liu, W., Feng, H., Liu, Z., Xiao, T. Z., Collins, K. M., Tenenbaum, J. B., Weller, A., Black, M. J., Schölkopf, B. August 2024, To be published (To be published) BibTeX
Organizational Leadership and Diversity Conference Paper Gig work in organizations: Trends and perspectives from Human Resource Management professionals Singh, V., Keplinger, K., Tursunbayeva, A., Di Lauro, S. In Proceedings of the 84th Annual Meeting of the Academy of Management, :https://doi.org/10.5465/AMPROC.2024.14769symposium, Chicago, USA, 84th Annual Meeting of the Academy of Management, August 2024 (Published) Gig work and HRM DOI URL BibTeX
Physics for Inference and Optimization Article A model for efficient dynamical ranking in networks Della Vecchia, A., Neocosmos, K., Larremore, D. B., Moore, C., De Bacco, C. Phys. Rev. E 110, 034310, September 2024 (Published) Preprint Code Paper DOI URL BibTeX
Haptic Intelligence Miscellaneous Adapting a High-Fidelity Simulation of Human Skin for Comparative Touch Sensing Schulz, A., Serhat, G., Kuchenbecker, K. J. Extended abstract (1 page) presented at the American Society of Biomechanics Annual Meeting (ASB), Madison, USA, August 2024 (Published) BibTeX
Empirical Inference Conference Paper Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals Ortu*, F., Jin*, Z., Doimo, D., Sachan, M., Cazzaniga, A., Schölkopf, B. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) , Volume 1, Long Papers:8420-8436, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024, *equal contribution (Published) arXiv URL BibTeX
Haptic Intelligence Ph.D. Thesis Engineering and Evaluating Naturalistic Vibrotactile Feedback for Telerobotic Assembly Gong, Y. University of Stuttgart, Stuttgart, Germany, August 2024, Faculty of Engineering Design, Production Engineering and Automotive Engineering (Published) BibTeX
Haptic Intelligence Article Fingertip Dynamic Response Simulated Across Excitation Points and Frequencies Serhat, G., Kuchenbecker, K. J. Biomechanics and Modeling in Mechanobiology, 23(4):1369-1376, August 2024 (Published) DOI BibTeX
Empirical Inference Article Leveraging Task Structures for Improved Identifiability in Neural Network Representations Chen*, W., Horwood*, J., Heo, J., Hernández-Lobato, J. M. Transactions on Machine Learning Research, August 2024, *equal contribution (Published) URL BibTeX
Haptic Intelligence Robotics Miscellaneous Modeling Shank Tissue Properties and Quantifying Body Composition with a Wearable Actuator-Accelerometer Set Rokhmanova, N., Martus, J., Faulkner, R., Fiene, J., Kuchenbecker, K. J. Extended abstract (1 page) presented at the American Society of Biomechanics Annual Meeting (ASB), Madison, USA, August 2024 (Published) BibTeX
Empirical Inference Conference Paper Modelling Variability in Human Annotator Simulation Wu*, W., Chen*, W., Zhang, C., Woodland, P. C. Findings of the Association for Computational Linguistics (ACL), :1139-1157, (Editors: Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek), Association for Computational Linguistics, August 2024, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Moûsai: Efficient Text-to-Music Diffusion Models Schneider, F., Kamal, O., Jin, Z., Schölkopf, B. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers:8050-8068, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024 (Published) URL BibTeX
Perceiving Systems Article Re-Thinking Inverse Graphics with Large Language Models Kulits, P., Feng, H., Liu, W., Abrevaya, V., Black, M. J. Transactions on Machine Learning Research, August 2024 (Published) pdf URL BibTeX
Empirical Inference Conference Paper CausalCite: A Causal Formulation of Paper Citations Agrawal, I., Jin, Z., Mokhtarian, E., Guo, S., Chen, Y., Sachan, M., Schölkopf, B. Findings of the Association for Computational Linguistics (ACL), :8395-8410, (Editors: Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek), Association for Computational Linguistics, August 2024 (Published) arXiv URL BibTeX
Empirical Inference Ph.D. Thesis A Measure-Theoretic Axiomatisation of Causality and Kernel Regression Park, J. University of Tübingen, Germany, July 2024 (Published) BibTeX
Empirical Inference Conference Paper A Sparsity Principle for Partially Observable Causal Representation Learning Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., Magliacane, S. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:55389-55433, 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
Empirical Inference Conference Paper Accuracy on the wrong line: On the pitfalls of noisy data for OOD generalisation Sanyal, A., Hu, Y., Yu, Y., Ma, Y., Wang, Y., Schölkopf, B. ICML 2024 Next Generation of AI Safety Workshop (Oral), July 2024 (Published) arXiv PDF BibTeX
Empirical Inference Conference Paper All-in-one simulation-based inference Gloeckler, M., Deistler, M., Weilbach, C. D., Wood, F., Macke, J. H. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:15735-15766, 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
Social Foundations of Computation Conference Paper Allocation Requires Prediction Only if Inequality Is Low Shirali, A., Abebe, R., Hardt, M. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR, The Forty-First International Conference on Machine Learning (ICML), July 2024, *equal contribution (Published) ArXiv 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
Social Foundations of Computation Conference Paper Causal Inference from Competing Treatments Stoica, A., Nastl, V. Y., Hardt, M. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR, The Forty-First International Conference on Machine Learning (ICML), July 2024 (Published) ArXiv URL BibTeX
Learning and Dynamical Systems Empirical Inference Article Deep Backtracking Counterfactuals for Causally Compliant Explanations Kladny, K., Kügelgen, J. V., Schölkopf, B., Muehlebach, M. Transactions on Machine Learning Research, July 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Detecting and Identifying Selection Structure in Sequential Data Zheng, Y., Tang, Z., Qiu, Y., Schölkopf, B., Zhang, K. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:61498-61525, 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
Empirical Inference Conference Paper Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for ODEs Beck, J., Bosch, N., Deistler, M., Kadhim, K. L., Macke, J. H., Hennig, P., Berens, P. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:3305-3326, 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) arXiv URL BibTeX
Empirical Inference Conference Paper Diffusive Gibbs Sampling Chen*, W., Zhang*, M., Paige, B., Hernández-Lobato, J. M., Barber, D. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:7731-7747, 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, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? Opedal, A., Stolfo, A., Shirakami, H., Jiao, Y., Cotterell, R., Schölkopf, B., Saparov, A., Sachan, M. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:38762-38778, 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
Social Foundations of Computation Conference Paper Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget Dorner, F. E., Hardt, M. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR, The Forty-First International Conference on Machine Learning (ICML), July 2024 (Published) ArXiv URL BibTeX
Empirical Inference Ph.D. Thesis Enhancement and Evaluation of Deep Generative Networks with Applications in Super-Resolution and Image Generation Sajjadi, S. M. M. University of Tübingen, Germany, July 2024 (Published) BibTeX
Haptic Intelligence Master Thesis Estimating Contact Forces Across Soft Capacitive Tactile Sensors Using Machine Learning Tiwari, A. :1-99, Saarland University, Saarbrücken, Germany, July 2024, M.Sc. in Embedded Systems (Published) BibTeX
Empirical Inference Conference Paper Geometry-Aware Instrumental Variable Regression Kremer, H., Schölkopf, B. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:25560-25582, 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
Empirical Inference Conference Paper Implicit meta-learning may lead language models to trust more reliable sources Krasheninnikov, D., Krasheninnikov, E., Mlodozeniec, B. K., Maharaj, T., Krueger, D. Proceedings of the 41st International Conference on Machine Learning, 235:25534-25559, 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
Empirical Inference Conference Paper Improving Neural Additive Models with Bayesian Principles Bouchiat, K., Immer, A., Yèche, H., Rätsch, G., Fortuin, V. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:4416-4443, 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
Social Foundations of Computation Conference Paper Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks Zhang, G., Hardt, M. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR, The Forty-First International Conference on Machine Learning (ICML), July 2024 (Published) ArXiv Code 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
Perceiving Systems Ph.D. Thesis Modelling Dynamic 3D Human-Object Interactions: From Capture to Synthesis Taheri, O. University of Tübingen, July 2024, Accepted (Accepted) 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
Haptic Intelligence Intelligent Control Systems Article Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test Khojasteh, B., Solowjow, F., Trimpe, S., Kuchenbecker, K. J. IEEE Transactions on Automation Science and Engineering, 21(3):4432-4447, July 2024 (Published) DOI BibTeX
Empirical Inference Conference Paper On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective Dmitriev, D., Szabó, K., Sanyal, A. Proceedings of the 37th Annual Conference on Learning Theory (COLT), 247:1379-1398, Proceedings of Machine Learning Research, (Editors: Agrawal, Shipra and Roth, Aaron), PMLR, July 2024, (talk) (Published) URL BibTeX
Empirical Inference Robust Machine Learning Conference Paper Position: Understanding LLMs Requires More Than Statistical Generalization Reizinger, P., Ujváry, S., Mészáros, A., Kerekes, A., Brendel, W., Huszár, F. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:42365-42390, 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) arXiv URL BibTeX
Empirical Inference Article Probabilistic pathway-based multimodal factor analysis Immer, A., Stark, S. G., Jacob, F., Bonilla, X., Thomas, T., Kahles, A., Goetze, S., Milani, E. S., Wollscheid, B., Consortium, T. T. P., et al. Bioinformatics, 40(Supplement 1):i189-i198, July 2024 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Products, Abstractions and Inclusions of Causal Spaces Buchholz, S., Park, J., Schölkopf, B. 40th Conference on Uncertainty in Artificial Intelligence (UAI), 244:430-449, Proceedings of Machine Learning Research, (Editors: Kiyavash, Negar and Mooij, Joris M.), PMLR, July 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Provable Privacy with Non-Private Pre-Processing Hu, Y., Sanyal, A., Schölkopf, B. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:19402-19437, 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
Empirical Inference Miscellaneous Real-time gravitational-wave inference for binary neutron stars using machine learning Dax, M., Green, S. R., Gair, J., Gupte, N., Pürrer, M., Raymond, V., Wildberger, J., Macke, J. H., Buonanno, A., Schölkopf, B. July 2024 (Published) URL BibTeX
Haptic Intelligence Conference Paper Reflectance Outperforms Force and Position in Model-Free Needle Puncture Detection L’Orsa, R., Bisht, A., Yu, L., Murari, K., Westwick, D. T., Sutherland, G. R., Kuchenbecker, K. J. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, USA, July 2024 (Published) DOI BibTeX
Empirical Inference Conference Paper Robustness of Nonlinear Representation Learning Buchholz, S., Schölkopf, B. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:4785-4821, 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
Empirical Inference Learning and Dynamical Systems Robotics Conference Paper Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion Guist, S., Schneider, J., Ma, H., Chen, L., Berenz, V., Martus, J., Ott, H., Grüninger, F., Muehlebach, M., Fiene, J., et al. Proceedings of Robotics: Science and Systems, July 2024 (Published) arXiv Project Page DOI URL BibTeX