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88 Publications
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2023 | Submitted | Preprint | IST-REx-ID: 14209 |

Burg, Max F., et al. “A Data Augmentation Perspective on Diffusion Models and Retrieval.” ArXiv, 2304.10253, doi:10.48550/arXiv.2304.10253.
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2023 | Submitted | Preprint | IST-REx-ID: 14210 |

Fumero, Marco, et al. “Leveraging Sparse and Shared Feature Activations for Disentangled Representation Learning.” ArXiv, 2304.07939, doi:10.48550/arXiv.2304.07939.
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2023 | Published | Conference Paper | IST-REx-ID: 14211 |

Montagna, Francesco, et al. “Causal Discovery with Score Matching on Additive Models with Arbitrary Noise.” 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14212 |

Montagna, Francesco, et al. “Scalable Causal Discovery with Score Matching.” 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14214 |

Liu, Yuejiang, et al. “Causal Triplet: An Open Challenge for Intervention-Centric Causal Representation Learning.” 2nd Conference on Causal Learning and Reasoning, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14217 |

Moschella, Luca, et al. “Relative Representations Enable Zero-Shot Latent Space Communication.” The 11th International Conference on Learning Representations, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14218 |

Seitzer, Maximilian, et al. “Bridging the Gap to Real-World Object-Centric Learning.” The 11th International Conference on Learning Representations, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14219 |

Zadaianchuk, Andrii, et al. “Unsupervised Semantic Segmentation with Self-Supervised Object-Centric Representations.” The 11th International Conference on Learning Representations, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14222 |

Tangemann, Matthias, et al. “Unsupervised Object Learning via Common Fate.” 2nd Conference on Causal Learning and Reasoning, 2110.06562, 2023.
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14333 |

Faller, Philipp M., et al. “Self-Compatibility: Evaluating Causal Discovery without Ground Truth.” ArXiv, 2307.09552, doi:10.48550/arXiv.2307.09552.
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2023 | Submitted | Preprint | IST-REx-ID: 14948 |

Kori, Avinash, et al. “Grounded Object Centric Learning.” ArXiv, 2307.09437, doi:10.48550/arXiv.2307.09437.
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2023 | Published | Journal Article | IST-REx-ID: 14949 |

Burg, Max, 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 |

Maiorca, Valentino, et al. “Latent Space Translation via Semantic Alignment.” ArXiv, 2311.00664, doi:10.48550/arXiv.2311.00664.
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2023 | Submitted | Preprint | IST-REx-ID: 14953 |

Zhu, Zhenyu, et al. “Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling.” ArXiv, 2310.18123, doi:10.48550/arXiv.2310.18123.
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2023 | Submitted | Preprint | IST-REx-ID: 14954 |

Montagna, Francesco, et al. “Assumption Violations in Causal Discovery and the Robustness of Score Matching.” ArXiv, 2310.13387, doi:10.48550/arXiv.2310.13387.
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2023 | Submitted | Preprint | IST-REx-ID: 14961 |

Montagna, Francesco, et al. “Shortcuts for Causal Discovery of Nonlinear Models by Score Matching.” ArXiv, 2310.14246, doi:10.48550/arXiv.2310.14246.
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2023 | Submitted | Preprint | IST-REx-ID: 14962 |

Fan, Ke, et al. “Unsupervised Open-Vocabulary Object Localization in Videos.” ArXiv, 2309.09858, doi:10.48550/arXiv.2309.09858.
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2023 | Submitted | Preprint | IST-REx-ID: 14963 |

Zhao, Zixu, et al. “Object-Centric Multiple Object Tracking.” ArXiv, 2309.00233, doi:10.48550/arXiv.2309.00233.
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2023 | Patent | IST-REx-ID: 14965 |

Ficek, Joanna, et al. Methods of Determining Correspondences between Biological Properties of Cells. 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14958 |

Xu, Danru, et al. “A Sparsity Principle for Partially Observable Causal Representation Learning.” Causal Representation Learning Workshop at NeurIPS 2023, 54, OpenReview, 2023.
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