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86 Publications
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2023 | Published | Conference Paper | IST-REx-ID: 14211 | 
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, and F. Locatello, “Causal discovery with score matching on additive models with arbitrary noise,” in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14212 |
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, and F. Locatello, “Scalable causal discovery with score matching,” in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14214 |
Y. Liu et al., “Causal triplet: An open challenge for intervention-centric causal representation learning,” in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14217 |
L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, and E. Rodolà, “Relative representations enable zero-shot latent space communication,” in The 11th International Conference on Learning Representations, Kigali, Rwanda, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14218 |
M. Seitzer et al., “Bridging the gap to real-world object-centric learning,” in The 11th International Conference on Learning Representations, Kigali, Rwanda, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14219 |
A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, and T. Brox, “Unsupervised semantic segmentation with self-supervised object-centric representations,” in The 11th International Conference on Learning Representations, Kigali, Rwanda, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14222 |
M. Tangemann et al., “Unsupervised object learning via common fate,” in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany, 2023.
[Preprint]
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14333 |
P. M. Faller, L. C. Vankadara, A. A. Mastakouri, F. Locatello, and D. Janzing, “Self-compatibility: Evaluating causal discovery without ground truth,” arXiv. .
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14948 |
A. Kori, F. Locatello, F. D. S. Ribeiro, F. Toni, and B. Glocker, “Grounded object centric learning,” arXiv. .
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 14949 |
M. Burg et al., “Image retrieval outperforms diffusion models on data augmentation,” Journal of Machine Learning Research. ML Research Press, 2023.
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2023 | Submitted | Preprint | IST-REx-ID: 14952 |
V. Maiorca, L. Moschella, A. Norelli, M. Fumero, F. Locatello, and E. Rodolà, “Latent space translation via semantic alignment,” arXiv. .
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14953 |
Z. Zhu, F. Locatello, and V. Cevher, “Sample complexity bounds for score-matching: Causal discovery and generative modeling,” arXiv. .
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14954 |
F. Montagna et al., “Assumption violations in causal discovery and the robustness of score matching,” arXiv. .
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14961 |
F. Montagna, N. Noceti, L. Rosasco, and F. Locatello, “Shortcuts for causal discovery of nonlinear models by score matching,” arXiv. .
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14962 |
K. Fan et al., “Unsupervised open-vocabulary object localization in videos,” arXiv. .
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14963 |
Z. Zhao et al., “Object-centric multiple object tracking,” arXiv. .
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| arXiv
2023 | Epub ahead of print | Conference Paper | IST-REx-ID: 14974 |
C. Zhang et al., “Causality in the time of LLMs: Round table discussion results of CLeaR 2023,” in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany, 2023.
[Submitted Version]
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2023 | Patent | IST-REx-ID: 14965 |
J. Ficek, K.-V. Lehmann, F. Locatello, G. Raetsch, and S. Stark, “Methods of determining correspondences between biological properties of cells.” 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14958 |
D. Xu et al., “A sparsity principle for partially observable causal representation learning,” in Causal Representation Learning Workshop at NeurIPS 2023, New Orleans, LA, United States, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14216 |
A. Norelli, M. Fumero, V. Maiorca, L. Moschella, E. Rodolà, and F. Locatello, “ASIF: Coupled data turns unimodal models to multimodal without training,” in 37th Conference on Neural Information Processing Systems, New Orleans, LA, United States, 2023, vol. 36, pp. 15303–15319.
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| arXiv
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