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102 Publications
2023 |
Published |
Conference Paper |
IST-REx-ID: 14219 |
Zadaianchuk, Andrii, Matthaeus Kleindessner, Yi Zhu, Francesco Locatello, and Thomas Brox. “Unsupervised Semantic Segmentation with Self-Supervised Object-Centric Representations.” In The 11th International Conference on Learning Representations, 2023.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14222 |
Tangemann, Matthias, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, and Bernhard Schölkopf. “Unsupervised Object Learning via Common Fate.” In 2nd Conference on Causal Learning and Reasoning, 2023.
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14333 |
Faller, Philipp M., Leena Chennuru Vankadara, Atalanti A. Mastakouri, Francesco Locatello, and Dominik Janzing. “Self-Compatibility: Evaluating Causal Discovery without Ground Truth.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2307.09552.
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| arXiv
2023 |
Published |
Journal Article |
IST-REx-ID: 14949 |
Burg, Max, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, and Chris Russell. “Image Retrieval Outperforms Diffusion Models on Data Augmentation.” Journal of Machine Learning Research. ML Research Press, 2023.
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2023 |
Published |
Conference Paper |
IST-REx-ID: 14958 |
Xu, Danru, Dingling Yao, Sebastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, and Sara Magliacane. “A Sparsity Principle for Partially Observable Causal Representation Learning.” In Causal Representation Learning Workshop at NeurIPS 2023. OpenReview, 2023.
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2023 |
Submitted |
Preprint |
IST-REx-ID: 14961 |
Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, and Francesco Locatello. “Shortcuts for Causal Discovery of Nonlinear Models by Score Matching.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2310.14246.
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14962 |
Fan, Ke, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel Carl-Johann Simon-Gabriel, et al. “Unsupervised Open-Vocabulary Object Localization in Videos.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2309.09858.
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14963 |
Zhao, Zixu, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, et al. “Object-Centric Multiple Object Tracking.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2309.00233.
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| arXiv
2023 |
Patent |
IST-REx-ID: 14965 |
Ficek, Joanna, Kjong-Van Lehmann, Francesco Locatello, Gunnar Raetsch, and Stefan Stark. “Methods of Determining Correspondences between Biological Properties of Cells,” 2023.
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2023 |
Submitted |
Conference Paper |
IST-REx-ID: 14974 |
Zhang, Cheng, Dominik Janzing, Mihaela van der Schaar, Francesco Locatello, Peter Spirtes, Kun Zhang, Bernhard Schölkopf, and Caroline Uhler. “Causality in the Time of LLMs: Round Table Discussion Results of CLeaR 2023.” In 2nd Conference on Causal Learning and Reasoning, n.d.
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2023 |
Published |
Conference Paper |
IST-REx-ID: 14210 |
Fumero, Marco, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, and Francesco Locatello. “Leveraging Sparse and Shared Feature Activations for Disentangled Representation Learning.” In 37th International Conference on Neural Information Processing Systems, Vol. 36. Neural Information Processing Systems Foundation, 2023.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14952 |
Maiorca, Valentino, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, and Emanuele Rodolà. “Latent Space Translation via Semantic Alignment.” In 37th Conference on Neural Information Processing Systems, 55394–414. Neural Information Processing Systems Foundation, 2023. https://doi.org/10.52202/075280-2418.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14207 |
Löwe, Sindy, Phillip Lippe, Francesco Locatello, and Max Welling. “Rotating Features for Object Discovery.” In 37th Conference on Neural Information Processing Systems, Vol. 36. Neural Information Processing Systems Foundation, 2023.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14948 |
Kori, Avinash, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, and Ben Glocker. “Grounded Object Centric Learning.” In 12th International Conference on Learning Representations. ICLR, 2023.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14954 |
Montagna, Francesco, Atalanti A. Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, and Francesco Locatello. “Assumption Violations in Causal Discovery and the Robustness of Score Matching.” In 37th Conference on Neural Information Processing Systems, Vol. 36. Neural Information Processing Systems Foundation, 2023. https://doi.org/10.52202/075280-2050.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14953 |
Zhu, Zhenyu, Francesco Locatello, and Volkan Cevher. “Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling.” In 37th Conference on Neural Information Processing Systems, 36:3325–37. Neural Information Processing Systems Foundation, 2023. https://doi.org/10.52202/075280-0147.
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| arXiv
2022 |
Published |
Conference Paper |
IST-REx-ID: 14093 |
Dresdner, Gideon, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, and Alp Yurtsever. “ Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization.” In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, 151:8439–57. ML Research Press, 2022.
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| arXiv
2022 |
Published |
Conference Paper |
IST-REx-ID: 14106 |
Lohaus, Michael, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, and Chris Russell. “Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks.” In 36th Conference on Neural Information Processing Systems, 35:16548–62. Neural Information Processing Systems Foundation, 2022.
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| arXiv
2022 |
Published |
Conference Paper |
IST-REx-ID: 14107 |
Yao, Jian, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David Wipf, Yanwei Fu, and Zheng Zhang. “Self-Supervised Amodal Video Object Segmentation.” In 36th Conference on Neural Information Processing Systems, 2022. https://doi.org/10.48550/arXiv.2210.12733.
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| arXiv
2022 |
Published |
Conference Paper |
IST-REx-ID: 14114 |
Zietlow, Dominik, Michael Lohaus, Guha Balakrishnan, Matthaus Kleindessner, Francesco Locatello, Bernhard Scholkopf, and Chris Russell. “Leveling down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.” In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 10400–411. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/cvpr52688.2022.01016.
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| arXiv