2024
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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
ei
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
41st Conference on Machine Learning (ICML), July 2024 (conference) Accepted
ei
Chen*, W., Zhang*, M., Paige, B., Hernández-Lobato, J. M., Barber, D.
Diffusive Gibbs Sampling
41st Conference on Machine Learning (ICML), July 2024, *equal contribution (conference) Accepted
ei
Schröder, C., Macke, J. H.
Simultaneous identification of models and parameters of scientific simulators
41st Conference on Machine Learning (ICML), Vienna, Austria, July 2024 (conference) Accepted
ei
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)
ei
Bouchiat, K., Immer, A., Yèche, H., Rätsch, G., Fortuin, V.
Improving Neural Additive Models with Bayesian Principles
41st Conference on Machine Learning (ICML), July 2024 (conference) Accepted
ei
Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., Magliacane, S.
A Sparsity Principle for Partially Observable Causal Representation Learning
41st Conference on Machine Learning (ICML), July 2024 (conference) Accepted
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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
ei
Kekic, A., Schölkopf, B., Besserve, M.
Targeted Reduction of Causal Models
40th Conference on Uncertainty in Artificial Intelligence (UAI), July 2024 (conference) Accepted
ei
Kremer, H., Schölkopf, B.
Geometry-Aware Instrumental Variable Regression
41st Conference on Machine Learning (ICML), July 2024 (conference) Accepted
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
ei
Hu, Y., Sanyal, A., Schölkopf, B.
Provable Privacy with Non-Private Pre-Processing
41st Conference on Machine Learning (ICML), July 2024 (conference) Accepted
ei
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
ei
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?
41st Conference on Machine Learning (ICML), July 2024 (conference) Accepted
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Ben-Dov*, O., Fawkes*, J., Samadi, S., Sanyal, A.
The Role of Learning Algorithms in Collective Action
41st Conference on Machine Learning (ICML), July 2024, *equal contribution (conference) Accepted
ei
Gloeckler, M., Deistler, M., Weilbach, C. D., Wood, F., Macke, J. H.
All-in-one simulation-based inference
41st Conference on Machine Learning (ICML), July 2024 (conference) 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)
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Liu, H., Zhu, Z., Becherini, G., Peng, Y., Su, M., Zhou, Y., Zhe, X., Iwamoto, N., Zheng, B., Black, M. J.
EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Kocabas, M., Chang, R., Gabriel, J., Tuzel, O., Ranjan, A.
HUGS: Human Gaussian Splats
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
ps
Sanyal, S., Ghosh, P., Yang, J., Black, M. J., Thies, J., Bolkart, T.
SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
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
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Keller, M., Arora, V., Dakri, A., Chandhok, S., Machann, J., Fritsche, A., Black, M. J., Pujades, S.
HIT: Estimating Internal Human Implicit Tissues from the Body Surface
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Shin, S., Kim, J., Halilaj, E., Black, M. J.
WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Diomataris, M., Athanasiou, N., Taheri, O., Wang, X., Hilliges, O., Black, M. J.
WANDR: Intention-guided Human Motion Generation
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Sklyarova, V., Zakharov, E., Hilliges, O., Black, M. J., Thies, J.
Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Wang, W., Ho, H., Guo, C., Rong, B., Grigorev, A., Song, J., Zarate, J. J., Hilliges, O.
4D-DRESS: A 4D Dataset of Real-World Human Clothing With Semantic Annotations
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Zuffi, S., Mellbin, Y., Li, C., Hoeschle, M., Kjellstrom, H., Polikovsky, S., Hernlund, E., Black, M. J.
VAREN: Very Accurate and Realistic Equine Network
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Matthew, V., Simancek, R. E., Telepo, E., Machesky, J., Willman, H., Ismail, A. B., Schulz, A. K.
Empowering Change: The Role of Student Changemakers in Advancing Sustainability within Engineering Education
Proceedings of the American Society of Engineering Education (ASEE), June 2024, Victoria Matthew and Andrew K. Schulz contributed equally to this publication. (issue) In press
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Feng, Y., Lin, J., Dwivedi, S. K., Sun, Y., Patel, P., Black, M. J.
ChatPose: Chatting about 3D Human Pose
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Müller, L., Ye, V., Pavlakos, G., Black, M., Kanazawa, A.
Generative Proxemics: A Prior for 3D Social Interaction from Images
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Dwivedi, S. K., Sun, Y., Patel, P., Feng, Y., Black, M. J.
TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Wu, K., Yang, L., Kuang, Z., Feng, Y., Han, X., Shen, Y., Fu, H., Zhou, K., Zheng, Y.
MonoHair: High-Fidelity Hair Modeling from a Monocular Video
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Zheng, Y., Li, X., Nagano, K., Liu, S., Hilliges, O., Mello, S. D.
A Unified Approach for Text- and Image-guided 4D Scene Generation
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages: 1942-1953, June 2024 (inproceedings)
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Petrovich, M., Litany, O., Iqbal, U., Black, M. J., Varol, G., Peng, X. B., Rempe, D.
Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation
In CVPR Workshop on Human Motion Generation, Seattle, CVPR 2024, June 2024 (inproceedings)
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Zhang, H., Zhang, Y., Hu, L., Zhang, J., Yi, H., Zhang, S., Liu, Y.
Real-time Monocular Full-body Capture in World Space via Sequential Proxy-to-Motion Learning
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
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Retsinas, G., Filntisis, P. P., Danecek, R., Abrevaya, V. F., Roussos, A., Bolkart, T., Maragos, P.
SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), CVPR 2024, June 2024 (inproceedings)
ei
Guo, S., Wildberger, J., Schölkopf, B.
Out-of-Variable Generalization for Discriminative Models
The Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference)
ei
Pace, A., Yèche, H., Schölkopf, B., Rätsch, G., Tennenholtz, G.
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
The Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference)
ei
Meterez*, A., Joudaki*, A., Orabona, F., Immer, A., Rätsch, G., Daneshmand, H.
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
The Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference)
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
Donhauser, K., Lokna, J., Sanyal, A., Boedihardjo, M., Hönig, R., Yang, F.
Certified private data release for sparse Lipschitz functions
Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 238, pages: 1396-1404, Proceedings of Machine Learning Research, (Editors: Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen), PMLR, May 2024 (conference)
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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
The Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference)
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?
The Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal supervision (conference)
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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
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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
The Twelfth International Conference on Learning Representations (ICLR), May 2024 (conference)
ei
Khromov*, G., Singh*, S. P.
Some Intriguing Aspects about Lipschitz Continuity of Neural Networks
The Twelfth International Conference on Learning Representations (ICLR), May 2024, *equal contribution (conference)
ei
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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