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5936 Publications
2023 | Published | Thesis | IST-REx-ID: 14280 |

Radler P. 2023. Spatiotemporal signaling during assembly of the bacterial divisome. Institute of Science and Technology Austria.
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2023 | Published | Thesis | IST-REx-ID: 14226 |

Stephenson ER. 2023. Generalizing medial axes with homology switches. Institute of Science and Technology Austria.
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2023 | Published | Thesis | IST-REx-ID: 12781 |

Kravchuk V. 2023. Structural and mechanistic study of bacterial complex I and its cyanobacterial ortholog. Institute of Science and Technology Austria.
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2023 | Published | Conference Paper | IST-REx-ID: 14459 |

Shevchenko A, Kögler K, Hassani H, Mondelli M. 2023. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 31151–31209.
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| arXiv
2023 | Published | Thesis | IST-REx-ID: 12470 |

Michalska JM. 2023. A versatile toolbox for the comprehensive analysis of nervous tissue organization with light microscopy. Institute of Science and Technology Austria.
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2023 | Published | Journal Article | IST-REx-ID: 12521 |

Mrnjavac A, Khudiakova K, Barton NH, Vicoso B. 2023. Slower-X: Reduced efficiency of selection in the early stages of X chromosome evolution. Evolution Letters. 7(1), qrac004.
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| WoS
| PubMed | Europe PMC
2022 | Published | Journal Article | IST-REx-ID: 13240 |

Ingole KD, Nagarajan N, Uhse S, Giannini C, Djamei A. 2022. Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis. Frontiers in Fungal Biology. 3, 1029114.
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2022 | Published | Conference Paper | IST-REx-ID: 13241 |

Konstantinov NH, Lampert C. 2022. On the impossibility of fairness-aware learning from corrupted data. Proceedings of Machine Learning Research. vol. 171, 59–83.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14093 |

Dresdner G, Vladarean M-L, Rätsch G, Locatello F, Cevher V, Yurtsever A. 2022. Faster one-sample stochastic conditional gradient method for composite convex minimization. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics. AISTATS: Conference on Artificial Intelligence and Statistics, PMLR, vol. 151, 8439–8457.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14106 |

Lohaus M, Kleindessner M, Kenthapadi K, Locatello F, Russell C. 2022. Are two heads the same as one? Identifying disparate treatment in fair neural networks. 36th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 35, 16548–16562.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14107 |

Yao J, Hong Y, Wang C, Xiao T, He T, Locatello F, Wipf D, Fu Y, Zhang Z. 2022. Self-supervised amodal video object segmentation. 36th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14114 |

Zietlow D, Lohaus M, Balakrishnan G, Kleindessner M, Locatello F, Scholkopf B, Russell C. 2022. Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 10400–10411.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14168 |

Rahaman N, Weiss M, Locatello F, Pal C, Bengio Y, Schölkopf B, Li LE, Ballas N. 2022. Neural attentive circuits. 36th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 35.
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| arXiv
2022 | Submitted | Conference Paper | IST-REx-ID: 14170 |

Dittadi A, Papa S, Vita MD, Schölkopf B, Winther O, Locatello F. Generalization and robustness implications in object-centric learning. Proceedings of the 39th International Conference on Machine Learning. International Conference on Machine Learning, PMLR, vol. 2022, 5221–5285.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14171 |

Rolland P, Cevher V, Kleindessner M, Russel C, Schölkopf B, Janzing D, Locatello F. 2022. Score matching enables causal discovery of nonlinear additive noise models. Proceedings of the 39th International Conference on Machine Learning. International Conference on Machine Learning, PMLR, vol. 162, 18741–18753.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14172 |

Schott L, Kügelgen J von, Träuble F, Gehler P, Russell C, Bethge M, Schölkopf B, Locatello F, Brendel W. 2022. Visual representation learning does not generalize strongly within the same domain. 10th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14173 |

Wenzel F, Dittadi A, Gehler PV, Carl-Johann Simon-Gabriel C-JS-G, Horn M, Zietlow D, Kernert D, Russell C, Brox T, Schiele B, Schölkopf B, Locatello F. 2022. Assaying out-of-distribution generalization in transfer learning. 36th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 35, 7181–7198.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14174 |

Dittadi A, Träuble F, Wüthrich M, Widmaier F, Gehler P, Winther O, Locatello F, Bachem O, Schölkopf B, Bauer S. 2022. The role of pretrained representations for the OOD generalization of reinforcement learning agents. 10th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14175 |

Makansi O, Kügelgen J von, Locatello F, Gehler P, Janzing D, Brox T, Schölkopf B. 2022. You mostly walk alone: Analyzing feature attribution in trajectory prediction. 10th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
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| arXiv
2022 | Submitted | Conference Paper | IST-REx-ID: 14215 |

Rahaman N, Weiss M, Träuble F, Locatello F, Lacoste A, Bengio Y, Pal C, Li LE, Schölkopf B. A general purpose neural architecture for geospatial systems. 36th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems.
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| arXiv