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4958 Publications
2021 | Published | Conference Paper | IST-REx-ID: 11453 |

L. Braun and T. P. Vogels, “Online learning of neural computations from sparse temporal feedback,” in Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 20, pp. 16437–16450.
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2021 | Published | Conference Paper | IST-REx-ID: 11458 |

E.-A. Peste, E. B. Iofinova, A. Vladu, and D.-A. Alistarh, “AC/DC: Alternating Compressed/DeCompressed training of deep neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 34, pp. 8557–8570.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11463 |

E. Frantar, E. Kurtic, and D.-A. Alistarh, “M-FAC: Efficient matrix-free approximations of second-order information,” in 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 34, pp. 14873–14886.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11464 |

D.-A. Alistarh and J. Korhonen, “Towards tight communication lower bounds for distributed optimisation,” in 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 34, pp. 7254–7266.
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| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 12076 |

A. L. Shute, “Sums of four squareful numbers,” arXiv. .
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| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 12077 |

A. L. Shute, “On the leading constant in the Manin-type conjecture for Campana points,” arXiv. .
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 12186
P. Ding et al., “Chromatin accessibility landscapes activated by cell-surface and intracellular immune receptors,” Journal of Experimental Botany, vol. 72, no. 22. Oxford University Press, pp. 7927–7941, 2021.
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 12187
J. Long et al., “Nurse cell--derived small RNAs define paternal epigenetic inheritance in Arabidopsis,” Science, vol. 373, no. 6550. American Association for the Advancement of Science (AAAS), 2021.
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2021 | Published | Journal Article | IST-REx-ID: 6965 |

K. P. Rychlewicz, “The positivity of local equivariant Hirzebruch class for toric varieties,” Bulletin of the London Mathematical Society, vol. 53, no. 2. Wiley, pp. 560–574, 2021.
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| arXiv
2021 | Published | Technical Report | IST-REx-ID: 6995 |

R. A. Samarasinghe et al., Identification of neural oscillations and epileptiform changes in human brain organoids, vol. 24. Springer Nature, 2021.
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 7463 |

F. Lombardi, O. Shriki, H. J. Herrmann, and L. de Arcangelis, “Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches,” Neurocomputing, vol. 461. Elsevier, pp. 657–666, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 14117 |

B. Scholkopf et al., “Toward causal representation learning,” Proceedings of the IEEE, vol. 109, no. 5. Institute of Electrical and Electronics Engineers, pp. 612–634, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14176 |

H. Yèche, G. Dresdner, F. Locatello, M. Hüser, and G. Rätsch, “Neighborhood contrastive learning applied to online patient monitoring,” in Proceedings of 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 11964–11974.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14177 |

F. Träuble et al., “On disentangled representations learned from correlated data,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 10401–10412.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14178 |

A. Dittadi et al., “On the transfer of disentangled representations in realistic settings,” in The Ninth International Conference on Learning Representations, Virtual, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 14179 |

J. von Kügelgen et al., “Self-supervised learning with data augmentations provably isolates content from style,” in Advances in Neural Information Processing Systems, Virtual, 2021, vol. 34, pp. 16451–16467.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14180 |

N. Rahaman et al., “Dynamic inference with neural interpreters,” in Advances in Neural Information Processing Systems, Virtual, 2021, vol. 34, pp. 10985–10998.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14181 |

G. Dresdner, S. Shekhar, F. Pedregosa, F. Locatello, and G. Rätsch, “Boosting variational inference with locally adaptive step-sizes,” in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 2021, pp. 2337–2343.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14182 |

F. Träuble, J. von Kügelgen, M. Kleindessner, F. Locatello, B. Schölkopf, and P. Gehler, “Backward-compatible prediction updates: A probabilistic approach,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021, vol. 34, pp. 116–128.
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| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 14221 |

F. Locatello, “Enforcing and discovering structure in machine learning,” arXiv. .
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