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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. Causal discovery with score matching on additive models with arbitrary noise. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14212 |
Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. Scalable causal discovery with score matching. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14214 |
Liu Y, Alahi A, Russell C, et al. Causal triplet: An open challenge for intervention-centric causal representation learning. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
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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. Relative representations enable zero-shot latent space communication. In: The 11th International Conference on Learning Representations. ; 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14218 |
Seitzer M, Horn M, Zadaianchuk A, et al. Bridging the gap to real-world object-centric learning. In: The 11th International Conference on Learning Representations. ; 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14219 |
Zadaianchuk A, Kleindessner M, Zhu Y, Locatello F, Brox T. Unsupervised semantic segmentation with self-supervised object-centric representations. In: The 11th International Conference on Learning Representations. ; 2023.
[Preprint]
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14222 |
Tangemann M, Schneider S, Kügelgen J von, et al. 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 PM, Vankadara LC, Mastakouri AA, Locatello F, Janzing D. Self-compatibility: Evaluating causal discovery without ground truth. arXiv. doi:10.48550/arXiv.2307.09552
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14948 |
Kori A, Locatello F, Ribeiro FDS, Toni F, Glocker B. Grounded object centric learning. arXiv. doi:10.48550/arXiv.2307.09437
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 14949 |
Burg M, Wenzel F, Zietlow D, et al. Image retrieval outperforms diffusion models on data augmentation. Journal of Machine Learning Research. 2023.
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2023 | Submitted | Preprint | IST-REx-ID: 14952 |
Maiorca V, Moschella L, Norelli A, Fumero M, Locatello F, Rodolà E. Latent space translation via semantic alignment. arXiv. doi:10.48550/arXiv.2311.00664
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14953 |
Zhu Z, Locatello F, Cevher V. Sample complexity bounds for score-matching: Causal discovery and generative modeling. arXiv. doi:10.48550/arXiv.2310.18123
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14954 |
Montagna F, Mastakouri AA, Eulig E, et al. Assumption violations in causal discovery and the robustness of score matching. arXiv. doi: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. Shortcuts for causal discovery of nonlinear models by score matching. arXiv. doi:10.48550/arXiv.2310.14246
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14962 |
Fan K, Bai Z, Xiao T, et al. Unsupervised open-vocabulary object localization in videos. arXiv. doi:10.48550/arXiv.2309.09858
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14963 |
Zhao Z, Wang J, Horn M, et al. Object-centric multiple object tracking. arXiv. doi: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, et al. Causality in the time of LLMs: Round table discussion results of CLeaR 2023. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
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2023 | Patent | IST-REx-ID: 14965 |
Ficek J, Lehmann K-V, Locatello F, Raetsch G, Stark S. Methods of determining correspondences between biological properties of cells. 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14958 |
Xu D, Yao D, Lachapelle S, et al. A sparsity principle for partially observable causal representation learning. In: Causal Representation Learning Workshop at NeurIPS 2023. OpenReview; 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14216 |
Norelli A, Fumero M, Maiorca V, Moschella L, Rodolà E, Locatello F. ASIF: Coupled data turns unimodal models to multimodal without training. In: 37th Conference on Neural Information Processing Systems. Vol 36. Neural Information Processing Systems Foundation; 2023:15303-15319.
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| arXiv
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