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86 Publications
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2023 | Published | Conference Paper | IST-REx-ID: 14211 | 
Montagna, F., Noceti, N., Rosasco, L., Zhang, K., & Locatello, F. (2023). Causal discovery with score matching on additive models with arbitrary noise. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14212 |
Montagna, F., Noceti, N., Rosasco, L., Zhang, K., & Locatello, F. (2023). Scalable causal discovery with score matching. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14214 |
Liu, Y., Alahi, A., Russell, C., Horn, M., Zietlow, D., Schölkopf, B., & Locatello, F. (2023). Causal triplet: An open challenge for intervention-centric causal representation learning. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14217 |
Moschella, L., Maiorca, V., Fumero, M., Norelli, A., Locatello, F., & Rodolà, E. (2023). Relative representations enable zero-shot latent space communication. In The 11th International Conference on Learning Representations. Kigali, Rwanda.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14218 |
Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Carl-Johann Simon-Gabriel, C.-J. S.-G., … Locatello, F. (2023). Bridging the gap to real-world object-centric learning. In The 11th International Conference on Learning Representations. Kigali, Rwanda.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14219 |
Zadaianchuk, A., Kleindessner, M., Zhu, Y., Locatello, F., & Brox, T. (2023). Unsupervised semantic segmentation with self-supervised object-centric representations. In The 11th International Conference on Learning Representations. Kigali, Rwanda.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14222 |
Tangemann, M., Schneider, S., Kügelgen, J. von, Locatello, F., Gehler, P., Brox, T., … Schölkopf, B. (2023). Unsupervised object learning via common fate. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14333 |
Faller, P. M., Vankadara, L. C., Mastakouri, A. A., Locatello, F., & Janzing, D. (n.d.). Self-compatibility: Evaluating causal discovery without ground truth. arXiv. https://doi.org/10.48550/arXiv.2307.09552
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14948 |
Kori, A., Locatello, F., Ribeiro, F. D. S., Toni, F., & Glocker, B. (n.d.). Grounded object centric learning. arXiv. https://doi.org/10.48550/arXiv.2307.09437
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 14949 |
Burg, M., Wenzel, F., Zietlow, D., Horn, M., Makansi, O., Locatello, F., & Russell, C. (2023). Image retrieval outperforms diffusion models on data augmentation. Journal of Machine Learning Research. ML Research Press.
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2023 | Submitted | Preprint | IST-REx-ID: 14952 |
Maiorca, V., Moschella, L., Norelli, A., Fumero, M., Locatello, F., & Rodolà, E. (n.d.). Latent space translation via semantic alignment. arXiv. https://doi.org/10.48550/arXiv.2311.00664
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14953 |
Zhu, Z., Locatello, F., & Cevher, V. (n.d.). Sample complexity bounds for score-matching: Causal discovery and generative modeling. arXiv. https://doi.org/10.48550/arXiv.2310.18123
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14954 |
Montagna, F., Mastakouri, A. A., Eulig, E., Noceti, N., Rosasco, L., Janzing, D., … Locatello, F. (n.d.). Assumption violations in causal discovery and the robustness of score matching. arXiv. https://doi.org/10.48550/arXiv.2310.13387
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14961 |
Montagna, F., Noceti, N., Rosasco, L., & Locatello, F. (n.d.). Shortcuts for causal discovery of nonlinear models by score matching. arXiv. https://doi.org/10.48550/arXiv.2310.14246
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14962 |
Fan, K., Bai, Z., Xiao, T., Zietlow, D., Horn, M., Zhao, Z., … He, T. (n.d.). Unsupervised open-vocabulary object localization in videos. arXiv. https://doi.org/10.48550/arXiv.2309.09858
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14963 |
Zhao, Z., Wang, J., Horn, M., Ding, Y., He, T., Bai, Z., … Xiao, T. (n.d.). Object-centric multiple object tracking. arXiv. https://doi.org/10.48550/arXiv.2309.00233
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| arXiv
2023 | Epub ahead of print | Conference Paper | IST-REx-ID: 14974 |
Zhang, C., Janzing, D., van der Schaar, M., Locatello, F., Spirtes, P., Zhang, K., … Uhler, C. (2023). Causality in the time of LLMs: Round table discussion results of CLeaR 2023. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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2023 | Patent | IST-REx-ID: 14965 |
Ficek, J., Lehmann, K.-V., Locatello, F., Raetsch, G., & Stark, S. (2023). Methods of determining correspondences between biological properties of cells.
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2023 | Published | Conference Paper | IST-REx-ID: 14958 |
Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., & Magliacane, S. (2023). A sparsity principle for partially observable causal representation learning. In Causal Representation Learning Workshop at NeurIPS 2023. New Orleans, LA, United States: OpenReview.
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2023 | Published | Conference Paper | IST-REx-ID: 14216 |
Norelli, A., Fumero, M., Maiorca, V., Moschella, L., Rodolà, E., & Locatello, F. (2023). ASIF: Coupled data turns unimodal models to multimodal without training. In 37th Conference on Neural Information Processing Systems (Vol. 36, pp. 15303–15319). New Orleans, LA, United States: Neural Information Processing Systems Foundation.
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| arXiv
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