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83 Publications
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2024 | Published | Conference Paper | IST-REx-ID: 18847 |

Cadei R, Lindorfer L, Cremer S, Schmid C, Locatello F. 2024. Smoke and mirrors in causal downstream tasks. ICML 2024 Workshop AI4Science. ICML: International Conference on Machine Learning vol. 38.
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2024 | Research Data Reference | IST-REx-ID: 18895 |

Cadei R, Locatello F, Cremer S, Lindorfer L, Schmid C. 2024. ISTAnt, Institute of Science and Technology Austria, 10.6084/M9.FIGSHARE.26484934.V2.
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2024 | Published | Conference Paper | IST-REx-ID: 18956 |

Demirel B, Ozkan H. 2024. Decompl: Decompositional learning with attention pooling for group activity recognition from a single volleyball image. 2024 IEEE International Conference on Image Processing. ICIP: International Conference on Image Processing, 977–983.
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2024 | Published | Conference Paper | IST-REx-ID: 18964 |

Fan K, Bai Z, Xiao T, He T, Horn M, Fu Y, Locatello F, Zhang Z. 2024. Adaptive slot attention: Object discovery with dynamic slot number. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18971 |

Arefin R, Zhang Y, Baratin A, Locatello F, Rish I, Liu D, Kawaguchi K. 2024. Unsupervised concept discovery mitigates spurious correlations. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 1672–1688.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18996 |

Chen T, Bello K, Locatello F, Aragam B, Ravikumar PK. 2024. Identifying general mechanism shifts in linear causal representations. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, vol. 38.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19010 |

Yao D, Rancati D, Cadei R, Fumero M, Locatello F. 2024. Unifying causal representation learning with the invariance principle. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, vol. 38.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19005 |

Yao D, Muller CJ, Locatello F. 2024. Marrying causal representation learning with dynamical systems for science. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, vol. 38.
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2024 | Published | Conference Paper | IST-REx-ID: 19007 |

Kori A, Locatello F, Santhirasekaram A, Toni F, Glocker B, De Sousa Ribeiro F. 2024. Identifiable object-centric representation learning via probabilistic slot attention. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, vol. 38.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 14946 |

Yao D, Xu D, Lachapelle S, Magliacane S, Taslakian P, Martius G, Kügelgen J von, Locatello F. 2024. Multi-view causal representation learning with partial observability. 12th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 14213 |

Lao D, Hu Z, Locatello F, Yang Y, Soatto S. 2024. Divided attention: Unsupervised multi-object discovery with contextually separated slots. 1st Conference on Parsimony and Learning. CPAL: Conference on Parsimony and Learning.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18114 |

Pervez AA, Locatello F, Gavves E. 2024. Mechanistic neural networks for scientific machine learning. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 40484–40501.
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| arXiv
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: 14216 |

Norelli A, Fumero M, Maiorca V, Moschella L, Rodolà E, Locatello F. 2023. ASIF: Coupled data turns unimodal models to multimodal without training. 37th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, vol. 36, 15303–15319.
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| arXiv
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. Causal Representation Learning Workshop at NeurIPS 2023. CRL: Causal Representation Learning Workshop at NeurIPS, 54.
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2023 | Published | Conference Paper | IST-REx-ID: 14105 |

Sinha S, Gehler P, Locatello F, Schiele B. 2023. TeST: Test-time Self-Training under distribution shift. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision. WACV: Winter Conference on Applications of Computer Vision.
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2023 | Submitted | Preprint | IST-REx-ID: 14207 |

Löwe S, Lippe P, Locatello F, Welling M. Rotating features for object discovery. arXiv, 2306.00600.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14208 |

Zhu Z, Liu F, Chrysos GG, Locatello F, Cevher V. 2023. Benign overfitting in deep neural networks under lazy training. Proceedings of the 40th International Conference on Machine Learning. International Conference on Machine Learning, PMLR, vol. 202, 43105–43128.
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14209 |

Burg MF, Wenzel F, Zietlow D, Horn M, Makansi O, Locatello F, Russell C. A data augmentation perspective on diffusion models and retrieval. arXiv, 2304.10253.
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14210 |

Fumero M, Wenzel F, Zancato L, Achille A, Rodolà E, Soatto S, Schölkopf B, Locatello F. Leveraging sparse and shared feature activations for disentangled representation learning. arXiv, 2304.07939.
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| arXiv
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