2024
hi
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
ps
Fan, Z., Parelli, M., Kadoglou, M. E., Kocabas, M., Chen, X., Black, M. J., Hilliges, O.
HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
ei
Gao, G., Liu, W., Chen, A., Geiger, A., Schölkopf, B.
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024 (conference) Accepted
ps
Chhatre, K., Daněček, R., Athanasiou, N., Becherini, G., Peters, C., Black, M. J., Bolkart, T.
AMUSE: Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion
Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2024 (conference) To be published
ei
Guo, S., Wildberger, J., Schölkopf, B.
Out-of-Variable Generalization for Discriminative Models
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
ei
Pace, A., Yèche, H., Schölkopf, B., Rätsch, G., Tennenholtz, G.
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
ei
Meterez*, A., Joudaki*, A., Orabona, F., Immer, A., Rätsch, G., Daneshmand, H.
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference) Accepted
ei
al
Spieler, A., Rahaman, N., Martius, G., Schölkopf, B., Levina, A.
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
ei
Open X-Embodiment Collaboration ( incl. Guist, S., Schneider, J., Schölkopf, B., Büchler, D. ).
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
IEEE International Conference on Robotics and Automation (ICRA), May 2024 (conference) Accepted
ei
Jin, Z., Liu, J., Lyu, Z., Poff, S., Sachan, M., Mihalcea, R., Diab*, M., Schölkopf*, B.
Can Large Language Models Infer Causation from Correlation?
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal supervision (conference) Accepted
ei
Donhauser, K., Lokna, J., Sanyal, A., Boedihardjo, M., Hönig, R., Yang, F.
Certified private data release for sparse Lipschitz functions
27th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2024 (conference) Accepted
ei
ps
Liu, Z., Feng, Y., Xiu, Y., Liu, W., Paull, L., Black, M. J., Schölkopf, B.
Ghost on the Shell: An Expressive Representation of General 3D Shapes
In Proceedings of the Twelfth International Conference on Learning Representations, The Twelfth International Conference on Learning Representations, May 2024 (inproceedings) Accepted
ei
Schneider, J., Schumacher, P., Guist, S., Chen, L., Häufle, D., Schölkopf, B., Büchler, D.
Identifying Policy Gradient Subspaces
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
al
Khajehabdollahi, S., Zeraati, R., Giannakakis, E., Schäfer, T. J., Martius, G., Levina, A.
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
In The Twelfth International Conference on Learning Representations, ICLR 2024, May 2024 (inproceedings)
ei
Khromov*, G., Singh*, S. P.
Some Intriguing Aspects about Lipschitz Continuity of Neural Networks
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference) Accepted
ei
ps
Liu, W., Qiu, Z., Feng, Y., Xiu, Y., Xue, Y., Yu, L., Feng, H., Liu, Z., Heo, J., Peng, S., Wen, Y., Black, M. J., Weller, A., Schölkopf, B.
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
In Proceedings of the Twelfth International Conference on Learning Representations, The Twelfth International Conference on Learning Representations, May 2024 (inproceedings) Accepted
ei
Pan, H., Schölkopf, B.
Skill or Luck? Return Decomposition via Advantage Functions
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
ei
Imfeld*, M., Graldi*, J., Giordano*, M., Hofmann, T., Anagnostidis, S., Singh, S. P.
Transformer Fusion with Optimal Transport
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference) Accepted
al
Gumbsch, C., Sajid, N., Martius, G., Butz, M. V.
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
In The Twelfth International Conference on Learning Representations, ICLR 2024, May 2024 (inproceedings)
ei
Lorch, L., Krause*, A., Schölkopf*, B.
Causal Modeling with Stationary Diffusions
27th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2024, *equal supervision (conference) Accepted
ei
al
Yao, D., Xu, D., Lachapelle, S., Magliacane, S., Taslakian, P., Martius, G., von Kügelgen, J., Locatello, F.
Multi-View Causal Representation Learning with Partial Observability
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
ei
Theus, A., Geimer, O., Wicke, F., Hofmann, T., Anagnostidis, S., Singh, S. P.
Towards Meta-Pruning via Optimal Transport
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference) Accepted
ei
Lin*, J. A., Padhy*, S., Antorán*, J., Tripp, A., Terenin, A., Szepesvari, C., Hernández-Lobato, J. M., Janz, D.
Stochastic Gradient Descent for Gaussian Processes Done Right
Proceedings of the Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference) Accepted
ei
Hu, Y., Pinto, F., Yang, F., Sanyal, A.
PILLAR: How to make semi-private learning more effective
2nd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), April 2024 (conference) Accepted
hi
Mohan, M., Mat Husin, H., Kuchenbecker, K. J.
Expert Perception of Teleoperated Social Exercise Robots
In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI), pages: 769-773, Boulder, USA, March 2024, Late-Breaking Report (LBR) (5 pages) presented at the IEEE/ACM International Conference on Human-Robot Interaction (HRI) (inproceedings)
ps
Liao, T., Yi, H., Xiu, Y., Tang, J., Huang, Y., Thies, J., Black, M. J.
TADA! Text to Animatable Digital Avatars
In International Conference on 3D Vision (3DV 2024), 3DV 2024, March 2024 (inproceedings) Accepted
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Dwivedi, S. K., Schmid, C., Yi, H., Black, M. J., Tzionas, D.
POCO: 3D Pose and Shape Estimation using Confidence
In International Conference on 3D Vision (3DV 2024), 3DV 2024, March 2024 (inproceedings)
ncs
ps
Zhang, H., Feng, Y., Kulits, P., Wen, Y., Thies, J., Black, M. J.
TECA: Text-Guided Generation and Editing of Compositional 3D Avatars
In International Conference on 3D Vision (3DV 2024), 3DV 2024, March 2024 (inproceedings) To be published
ncs
Kabadayi, B., Zielonka, W., Bhatnagar, B. L., Pons-Moll, G., Thies, J.
GAN-Avatar: Controllable Personalized GAN-based Human Head Avatar
In International Conference on 3D Vision (3DV), March 2024 (inproceedings)
ps
Huang, Y., Yi, H., Xiu, Y., Liao, T., Tang, J., Cai, D., Thies, J.
TeCH: Text-guided Reconstruction of Lifelike Clothed Humans
In International Conference on 3D Vision (3DV 2024), 3DV 2024, March 2024 (inproceedings) Accepted
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Zhang, H., Christen, S., Fan, Z., Zheng, L., Hwangbo, J., Song, J., Hilliges, O.
ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation
In International Conference on 3D Vision (3DV 2024), 3DV 2024, March 2024 (inproceedings) Accepted
ei
von Kügelgen, J.
Identifiable Causal Representation Learning
University of Cambridge, UK, Cambridge, February 2024, (Cambridge-Tübingen-Fellowship) (phdthesis)
hi
Burns, R.
Creating a Haptic Empathetic Robot Animal That Feels Touch and Emotion
University of Tübingen, Tübingen, Germany, February 2024, Department of Computer Science (phdthesis)
ps
Ben-Dov, O., Gupta, P. S., Abrevaya, V., Black, M. J., Ghosh, P.
Adversarial Likelihood Estimation With One-Way Flows
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages: 3779-3788, January 2024 (inproceedings)
ei
OS Lab
Kottapalli, S. N. M., Schlieder, L., Song, A., Volchkov, V., Schölkopf, B., Fischer, P.
Polarization-based non-linear deep diffractive neural networks
AI and Optical Data Sciences V, PC12903, pages: PC129030B, (Editors: Ken-ichi Kitayama and Volker J. Sorger), SPIE, January 2024 (conference)
ei
Song, A., Kottapalli, S. N. M., Schölkopf, B., Fischer, P.
Multi-channel free space optical convolutions with incoherent light
AI and Optical Data Sciences V, PC12903, pages: PC129030I, (Editors: Ken-ichi Kitayama and Volker J. Sorger), SPIE, January 2024 (conference)
ev
Kandukuri, R. K., Strecke, M., Stueckler, J.
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos
In International Conference on 3D Vision (3DV), 2024, accepted, preprint arXiv: 2309.15703 (inproceedings) Accepted
ev
Li, H., Stueckler, J.
Online Calibration of a Single-Track Ground Vehicle Dynamics Model by Tight Fusion with Visual-Inertial Odometry
In Accepted for IEEE International Conference on Robotics and Automation (ICRA), 2024, accepted, preprint arXiv:2309.11148 (inproceedings) Accepted
2023
ei
Chaudhuri, A., Mancini, M., Akata, Z., Dutta, A.
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 37th Annual Conference on Neural Information Processing Systems, December 2023 (conference) Accepted
ei
Eastwood*, C., Singh*, S., Nicolicioiu, A. L., Vlastelica, M., von Kügelgen, J., Schölkopf, B.
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 18291-18324, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (conference)
ei
Jin*, Z., Chen*, Y., Leeb*, F., Gresele*, L., Kamal, O., Lyu, Z., Blin, K., Gonzalez, F., Kleiman-Weiner, M., Sachan, M., Schölkopf, B.
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 31038-31065, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *main contributors (conference)
al
Kolev, P., Martius, G., Muehlebach, M.
Online Learning under Adversarial Nonlinear Constraints
In Advances in Neural Information Processing Systems 36, December 2023 (inproceedings)
ei
Gao*, R., Deistler*, M., Macke, J. H.
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 80191-80219, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (conference)
ei
Coda-Forno, J., Binz, M., Akata, Z., Botvinick, M., Wang, J. X., Schulz, E.
Meta-in-context learning in large language models
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 37th Annual Conference on Neural Information Processing Systems, December 2023 (conference) Accepted
ei
Kuznetsova*, R., Pace*, A., Burger*, M., Yèche, H., Rätsch, G.
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Proceedings of the 3rd Machine Learning for Health Symposium (ML4H) , 225, pages: 268-291, Proceedings of Machine Learning Research, (Editors: Hegselmann, S.and Parziale, A. and Shanmugam, D. and Tang, S. and Asiedu, M. N. and Chang, S. and Hartvigsen, T. and Singh, H.), PMLR, December 2023, *equal contribution (conference)
ei
ps
Qiu*, Z., Liu*, W., Feng, H., Xue, Y., Feng, Y., Liu, Z., Zhang, D., Weller, A., Schölkopf, B.
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 79320-79362, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (conference)
ei
Guo*, S., Tóth*, V., Schölkopf, B., Huszár, F.
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 36463-36475, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (conference)
al
Sancaktar, C., Piater, J., Martius, G.
Regularity as Intrinsic Reward for Free Play
In Advances in Neural Information Processing Systems 37, December 2023 (inproceedings)
ei
Lin*, J. A., Antorán*, J., Padhy*, S., Janz, D., Hernández-Lobato, J. M., Terenin, A.
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36, pages: 36886-36912, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (conference)
al
Zadaianchuk, A., Seitzer, M., Martius, G.
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), Advances in Neural Information Processing Systems 36, December 2023 (inproceedings)