2024
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Salaudeen, O., Hardt, M.
ImageNot: A Contrast with ImageNet Preserves Model Rankings
arXiv preprint arXiv:2404.02112, 2024 (conference) Submitted
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Nastl, V. Y., Hardt, M.
Predictors from Causal Features Do Not Generalize Better to New Domains
arXiv preprint arXiv:2402.09891, 2024 (conference) Submitted
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Mendler-Dünner, C., Carovano, G., Hardt, M.
An Engine Not a Camera: Measuring Performative Power of Online Search
arXiv preprint arXiv:2405.19073, 2024 (conference) Submitted
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Dominguez-Olmedo, R., Hardt, M., Mendler-Dünner, C.
Questioning the Survey Responses of Large Language Models
arXiv preprint arXiv:2306.07951, 2024 (conference) Submitted
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Dominguez-Olmedo, R., Dorner, F. E., Hardt, M.
Training on the Test Task Confounds Evaluation and Emergence
arXiv preprint arXiv:2407.07890, 2024 (conference) Submitted
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Bartels, J. U., Sanchez-Tamayo, N., Sedlmair, M., Kuchenbecker, K. J.
Active Haptic Feedback for a Virtual Wrist-Anchored User Interface
Hands-on demonstration presented at the ACM Symposium on User Interface Software and Technology (UIST), Pittsburgh, USA, October 2024 (misc) Accepted
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Dakri, A., Arora, V., Challier, L., Keller, M., Black, M. J., Pujades, S.
On predicting 3D bone locations inside the human body
In 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2024 (inproceedings)
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Zuffi, S., Black, M. J.
AWOL: Analysis WithOut synthesis using Language
European Conference on Computer Vision (ECCV), ECCV, October 2024 (conference)
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Zhang, H., Christen, S., Fan, Z., Hilliges, O., Song, J.
GraspXL: Generating Grasping Motions for Diverse Objects at Scale
European Conference on Computer Vision (ECCV), ECCV 2024, September 2024 (conference) Accepted
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Fan, Z., Ohkawa, T., Yang, L., Lin, N., Zhou, Z., Zhou, S., Liang, J., Gao, Z., Zhang, X., Zhang, X., Li, F., Zheng, L., Lu, F., Zeid, K. A., Leibe, B., On, J., Baek, S., Prakash, A., Gupta, S., He, K., Sato, Y., Hilliges, O., Chang, H. J., Yao, A.
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects
European Conference on Computer Vision (ECCV), ECCV 2024, September 2024 (conference) Accepted
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Schumacher, P., Krause, L., Schneider, J., Büchler, D., Martius, G., Haeufle, D.
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology
In 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob), September 2024 (inproceedings) Accepted
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Wu*, W., Chen*, W., Zhang, C., Woodland, P. C.
Modelling Variability in Human Annotator Simulation
62nd Annual Meeting of the Association for Computational Linguistics (ACL), August 2024, *equal contribution (conference) Accepted
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Rokhmanova, N., Martus, J., Faulkner, R., Fiene, J., Kuchenbecker, K. J.
Modeling Shank Tissue Properties and Quantifying Body Composition with a Wearable Actuator-Accelerometer Set
Extended abstract (1 page) presented at the American Society of Biomechanics Annual Meeting (ASB), Madison, USA, August 2024 (misc)
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Ortu*, F., Jin*, Z., Doimo, D., Sachan, M., Cazzaniga, A., Schölkopf, B.
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
62nd Annual Meeting of the Association for Computational Linguistics (ACL) , August 2024, *equal contribution (conference) Accepted
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Kumar, I., Jin, Z., Mokhtarian, E., Guo, S., Chen, Y., Kiyavash, N., Sachan, M., Schölkopf, B.
CausalCite: A Causal Formulation of Paper Citations
62nd Annual Meeting of the Association for Computational Linguistics (ACL), August 2024 (conference) Accepted
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Chen*, W., Horwood*, J., Heo, J., Hernández-Lobato, J. M.
Leveraging Task Structures for Improved Identifiability in Neural Network Representations
Transactions on Machine Learning Research, August 2024, *equal contribution (article) Accepted
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Schulz, A., Serhat, G., Kuchenbecker, K. J.
Adapting a High-Fidelity Simulation of Human Skin for Comparative Touch Sensing
Extended abstract (1 page) presented at the American Society of Biomechanics Annual Meeting (ASB), Madison, USA, August 2024 (misc)
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Dmitriev, D., Szabó, K., Sanyal, A.
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective
Proceedings of the 37th Annual Conference on Learning Theory (COLT), 247, pages: 1379-1398, Proceedings of Machine Learning Research, (Editors: Agrawal, Shipra and Roth, Aaron), PMLR, July 2024, (talk) (conference)
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Buchholz, S., Schölkopf, B.
Robustness of Nonlinear Representation Learning
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)
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Beck, J., Bosch, N., Deistler, M., Kadhim, K. L., Macke, J. H., Hennig, P., Berens, P.
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for ODEs
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)
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Schröder, C., Macke, J. H.
Simultaneous identification of models and parameters of scientific simulators
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 43895-43927, 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 (conference)
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Urpi, N. A., Bagatella, M., Vlastelica, M., Martius, G.
Causal Action Influence Aware Counterfactual Data Augmentation
In Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (inproceedings)
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Zhang, G., Hardt, M.
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
In Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR, July 2024 (inproceedings)
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Reizinger, P., Ujváry, S., Mészáros, A., Kerekes, A., Brendel, W., Huszár, F.
Position: Understanding LLMs Requires More Than Statistical Generalization
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)
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Chen*, W., Zhang*, M., Paige, B., Hernández-Lobato, J. M., Barber, D.
Diffusive Gibbs Sampling
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)
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Jain, S., Lubana, E. S., Oksuz, K., Joy, T., Torr, P. H. S., Sanyal, A., Dokania, P. K.
What Makes Safety Fine-tuning Methods Safe? A Mechanistic Study
ICML 2024 Workshop on Mechanistic Interpretability (Spotlight), July 2024 (conference)
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Khojasteh, B., Solowjow, F., Trimpe, S., Kuchenbecker, K. J.
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test
IEEE Transactions on Automation Science and Engineering, 21(3):4432-4447, July 2024 (article)
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Shirali, A., Abebe*, R., Hardt*, M.
Allocation Requires Prediction Only if Inequality Is Low
In Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR, July 2024, *equal contribution (inproceedings)
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Grigorev, A., Becherini, G., Black, M., Hilliges, O., Thomaszewski, B.
ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations
In ACM SIGGRAPH 2024 Conference Papers, pages: 1-10, SIGGRAPH ’24, Association for Computing Machinery, New York, NY, USA, July 2024 (inproceedings)
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Dorner, F. E., Hardt, M.
Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
In Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR, July 2024 (inproceedings)
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Geist, A. R., Frey, J., Zhobro, M., Levina, A., Martius, G.
Learning with 3D rotations, a hitchhiker’s guide to SO(3)
In Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 15331-15350, 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 (inproceedings)
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Paulus, A., Martius, G., Musil, V.
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
In Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (inproceedings)
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Bouchiat, K., Immer, A., Yèche, H., Rätsch, G., Fortuin, V.
Improving Neural Additive Models with Bayesian Principles
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)
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Abdolahpourrostam, A., Sanyal, A., Moosavi-Dezfooli, S.
Unveiling CLIP Dynamics: Linear Mode Connectivity and Generalization
ICML 2024 Workshop on Foundation Models in the Wild, July 2024 (conference)
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Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., Magliacane, S.
A Sparsity Principle for Partially Observable Causal Representation Learning
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)
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lds
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Guist, S., Schneider, J., Ma, H., Chen, L., Berenz, V., Martus, J., Ott, H., Grüninger, F., Muehlebach, M., Fiene, J., Schölkopf, B., Büchler, D.
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
Robotics: Science and Systems, July 2024 (conference) Accepted
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Keurti, H., Schölkopf, B., Aceituno, P. V., Grewe, B.
Stitching Manifolds: Leveraging Interaction to Compose Object Representations into Scenes
ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM), July 2024 (conference) Accepted
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Stoica, A., Nastl, V. Y., Hardt, M.
Causal Inference from Competing Treatments
In Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR, July 2024 (inproceedings)
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Park, J.
A Measure-Theoretic Axiomatisation of Causality and Kernel Regression
University of Tübingen, Germany, July 2024 (phdthesis)
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Kremer, H., Schölkopf, B.
Geometry-Aware Instrumental Variable Regression
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)
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Kekic, A., Schölkopf, B., Besserve, M.
Targeted Reduction of Causal Models
40th Conference on Uncertainty in Artificial Intelligence (UAI), July 2024 (conference) To be published
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L’Orsa, R., Bisht, A., Yu, L., Murari, K., Westwick, D. T., Sutherland, G. R., Kuchenbecker, K. J.
Reflectance Outperforms Force and Position in Model-Free Needle Puncture Detection
In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, USA, July 2024 (inproceedings) Accepted
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Buchholz, S., Park, J., Schölkopf, B.
Products, Abstractions and Inclusions of Causal Spaces
40th Conference on Uncertainty in Artificial Intelligence (UAI), July 2024 (conference) Accepted
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Sajjadi, S. M. M.
Enhancement and Evaluation of Deep Generative Networks with Applications in Super-Resolution and Image Generation
University of Tübingen, Germany, July 2024 (phdthesis)
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Hu, Y., Sanyal, A., Schölkopf, B.
Provable Privacy with Non-Private Pre-Processing
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)
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Krasheninnikov, D., Krasheninnikov, E., Mlodozeniec, Bruno K., Maharaj, T., Krueger, D.
Implicit meta-learning may lead language models to trust more reliable sources
Proceedings of the 41st International Conference on Machine Learning, 235, pages: 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 (conference)
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Sanyal, A., Hu, Y., Yu, Y., Ma, Y., Wang, Y., Schölkopf, B.
Accuracy on the wrong line: On the pitfalls of noisy data for OOD generalisation
ICML 2024 Next Generation of AI Safety Workshop (Oral), July 2024 (conference) Accepted
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Cheng, G., Hardt, M., Mendler-Dünner, C.
Causal Inference out of Control: Estimating Performativity without Treatment Randomization
In Proceedings of the 41st International Conference on Machine Learning, PMLR, July 2024 (inproceedings)
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Opedal, A., Stolfo, A., Shirakami, H., Jiao, Y., Cotterell, R., Schölkopf, B., Saparov, A., Sachan, M.
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)
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Zheng, Y., Tang, Z., Qiu, Y., Schölkopf, B., Zhang, K.
Detecting and Identifying Selection Structure in Sequential Data
Proceedings of the 41st International Conference on Machine Learning (ICML), 235, pages: 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 (conference)