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4957 Publications
2021 | Published | Conference Paper | IST-REx-ID: 11436 | 
Kungurtsev, V., Egan, M., Chatterjee, B., & Alistarh, D.-A. (2021). Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Vol. 35, pp. 8209–8216). Virtual, Online: AAAI Press.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11452 |
Alimisis, F., Davies, P., Vandereycken, B., & Alistarh, D.-A. (2021). Distributed principal component analysis with limited communication. In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems (Vol. 4, pp. 2823–2834). Virtual, Online: Neural Information Processing Systems Foundation.
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2021 | Published | Conference Paper | IST-REx-ID: 11453 |
Braun, L., & Vogels, T. P. (2021). Online learning of neural computations from sparse temporal feedback. In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems (Vol. 20, pp. 16437–16450). Virtual, Online: Neural Information Processing Systems Foundation.
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2021 | Published | Conference Paper | IST-REx-ID: 11458 |
Peste, E.-A., Iofinova, E. B., Vladu, A., & Alistarh, D.-A. (2021). AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 8557–8570). Virtual, Online: Curran Associates.
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2021 | Published | Conference Paper | IST-REx-ID: 11463 |
Frantar, E., Kurtic, E., & Alistarh, D.-A. (2021). M-FAC: Efficient matrix-free approximations of second-order information. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 14873–14886). Virtual, Online: Curran Associates.
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2021 | Published | Conference Paper | IST-REx-ID: 11464 |
Alistarh, D.-A., & Korhonen, J. (2021). Towards tight communication lower bounds for distributed optimisation. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 7254–7266). Virtual, Online: Curran Associates.
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| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 12076 |
Shute, A. L. (n.d.). Sums of four squareful numbers. arXiv. https://doi.org/10.48550/arXiv.2104.06966
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2021 | Submitted | Preprint | IST-REx-ID: 12077 |
Shute, A. L. (n.d.). On the leading constant in the Manin-type conjecture for Campana points. arXiv. https://doi.org/10.48550/arXiv.2104.14946
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2021 | Published | Journal Article | IST-REx-ID: 12186
Ding, P., Sakai, T., Krishna Shrestha, R., Manosalva Perez, N., Guo, W., Ngou, B. P. M., … Jones, J. D. G. (2021). Chromatin accessibility landscapes activated by cell-surface and intracellular immune receptors. Journal of Experimental Botany. Oxford University Press. https://doi.org/10.1093/jxb/erab373
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 12187
Long, J., Walker, J., She, W., Aldridge, B., Gao, H., Deans, S., … Feng, X. (2021). Nurse cell--derived small RNAs define paternal epigenetic inheritance in Arabidopsis. Science. American Association for the Advancement of Science (AAAS). https://doi.org/10.1126/science.abh0556
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 6965 |
Rychlewicz, K. P. (2021). The positivity of local equivariant Hirzebruch class for toric varieties. Bulletin of the London Mathematical Society. Wiley. https://doi.org/10.1112/blms.12442
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| arXiv
2021 | Published | Technical Report | IST-REx-ID: 6995 |
Samarasinghe, R. A., Miranda, O., Buth, J. E., Mitchell, S., Ferando, I., Watanabe, M., … Novitch, B. G. (2021). Identification of neural oscillations and epileptiform changes in human brain organoids (Vol. 24). Springer Nature. https://doi.org/10.1038/s41593-021-00906-5
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 7463 |
Lombardi, F., Shriki, O., Herrmann, H. J., & de Arcangelis, L. (2021). Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches. Neurocomputing. Elsevier. https://doi.org/10.1016/j.neucom.2020.05.126
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2021 | Published | Journal Article | IST-REx-ID: 14117 |
Scholkopf, B., Locatello, F., Bauer, S., Ke, N. R., Kalchbrenner, N., Goyal, A., & Bengio, Y. (2021). Toward causal representation learning. Proceedings of the IEEE. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/jproc.2021.3058954
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14176 |
Yèche, H., Dresdner, G., Locatello, F., Hüser, M., & Rätsch, G. (2021). Neighborhood contrastive learning applied to online patient monitoring. In Proceedings of 38th International Conference on Machine Learning (Vol. 139, pp. 11964–11974). Virtual: ML Research Press.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14177 |
Träuble, F., Creager, E., Kilbertus, N., Locatello, F., Dittadi, A., Goyal, A., … Bauer, S. (2021). On disentangled representations learned from correlated data. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 10401–10412). Virtual: ML Research Press.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14178 |
Dittadi, A., Träuble, F., Locatello, F., Wüthrich, M., Agrawal, V., Winther, O., … Schölkopf, B. (2021). On the transfer of disentangled representations in realistic settings. In The Ninth International Conference on Learning Representations. Virtual.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14179 |
Kügelgen, J. von, Sharma, Y., Gresele, L., Brendel, W., Schölkopf, B., Besserve, M., & Locatello, F. (2021). Self-supervised learning with data augmentations provably isolates content from style. In Advances in Neural Information Processing Systems (Vol. 34, pp. 16451–16467). Virtual.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14180 |
Rahaman, N., Gondal, M. W., Joshi, S., Gehler, P., Bengio, Y., Locatello, F., & Schölkopf, B. (2021). Dynamic inference with neural interpreters. In Advances in Neural Information Processing Systems (Vol. 34, pp. 10985–10998). Virtual.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14181 |
Dresdner, G., Shekhar, S., Pedregosa, F., Locatello, F., & Rätsch, G. (2021). Boosting variational inference with locally adaptive step-sizes. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (pp. 2337–2343). Montreal, Canada: International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2021/322
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