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5939 Publications

2022 | Published | Journal Article | IST-REx-ID: 11160 | OA
Villa, C. E., Cheroni, C., Dotter, C., López-Tóbon, A., Oliveira, B., Sacco, R., … Novarino, G. (2022). CHD8 haploinsufficiency links autism to transient alterations in excitatory and inhibitory trajectories. Cell Reports. Elsevier. https://doi.org/10.1016/j.celrep.2022.110615
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2022 | Published | Journal Article | IST-REx-ID: 12138 | OA
Kravchuk, V., Petrova, O., Kampjut, D., Wojciechowska-Bason, A., Breese, Z., & Sazanov, L. A. (2022). A universal coupling mechanism of respiratory complex I. Nature. Springer Nature. https://doi.org/10.1038/s41586-022-05199-7
[Submitted Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2022 | Published | Thesis | IST-REx-ID: 12364 | OA
Dotter, C. (2022). Transcriptional consequences of mutations in genes associated with Autism Spectrum Disorder. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12094
[Published Version] View | Files available | DOI
 
2022 | Published | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko, A., Kungurtsev, V., & Mondelli, M. (2022). Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. Journal of Machine Learning Research.
[Published Version] View | Files available | arXiv
 
2022 | Published | Thesis | IST-REx-ID: 11393 | OA
Jevtic, M. (2022). Contextual fear learning induced changes in AMPA receptor subtypes along the proximodistal axis in dorsal hippocampus. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:11393
[Published Version] View | Files available | DOI
 
2022 | Published | Journal Article | IST-REx-ID: 7577 | OA
Shehu, Y., & Iyiola, O. S. (2022). Weak convergence for variational inequalities with inertial-type method. Applicable Analysis. Taylor & Francis. https://doi.org/10.1080/00036811.2020.1736287
[Submitted Version] View | Files available | DOI | WoS | arXiv
 
2022 | Draft | Preprint | IST-REx-ID: 11943 | OA
Velicky, P., Miguel Villalba, E., Michalska, J. M., Wei, D., Lin, Z., Watson, J., … Danzl, J. G. (n.d.). Saturated reconstruction of living brain tissue. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2022.03.16.484431
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2022 | Draft | Preprint | IST-REx-ID: 11950 | OA
Michalska, J. M., Lyudchik, J., Velicky, P., Korinkova, H., Watson, J., Cenameri, A., … Danzl, J. G. (n.d.). Uncovering brain tissue architecture across scales with super-resolution light microscopy. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2022.08.17.504272
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
2022 | Published | Journal Article | IST-REx-ID: 10767 | OA
Kelemen, R. K., Elkrewi, M. N., Lindholm, A. K., & Vicoso, B. (2022). Novel patterns of expression and recruitment of new genes on the t-haplotype, a mouse selfish chromosome. Proceedings of the Royal Society B: Biological Sciences. The Royal Society. https://doi.org/10.1098/rspb.2021.1985
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2022 | Published | Conference Paper | IST-REx-ID: 11775 | OA
Henzinger, T. A., Mazzocchi, N. A., & Sarac, N. E. (2022). Abstract monitors for quantitative specifications. In 22nd International Conference on Runtime Verification (Vol. 13498, pp. 200–220). Tbilisi, Georgia: Springer Nature. https://doi.org/10.1007/978-3-031-17196-3_11
[Published Version] View | Files available | DOI | WoS
 
2021 | Published | Journal Article | IST-REx-ID: 14117 | OA
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
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14176 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14177 | OA
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.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14178 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14179 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14180 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14181 | OA
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
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14182 | OA
Träuble, F., Kügelgen, J. von, Kleindessner, M., Locatello, F., Schölkopf, B., & Gehler, P. (2021). Backward-compatible prediction updates: A probabilistic approach. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 116–128). Virtual.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Submitted | Preprint | IST-REx-ID: 14221 | OA
Locatello, F. (n.d.). Enforcing and discovering structure in machine learning. arXiv. https://doi.org/10.48550/arXiv.2111.13693
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2021 | Submitted | Preprint | IST-REx-ID: 14278 | OA
Koval, I. (n.d.). Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse. arXiv. https://doi.org/10.48550/ARXIV.2111.12171
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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