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5939 Publications
2022 | Published | Journal Article | IST-REx-ID: 11160 | 
C. E. Villa et al., “CHD8 haploinsufficiency links autism to transient alterations in excitatory and inhibitory trajectories,” Cell Reports, vol. 39, no. 1. Elsevier, 2022.
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| PubMed | Europe PMC
2022 | Published | Journal Article | IST-REx-ID: 12138 |
V. Kravchuk, O. Petrova, D. Kampjut, A. Wojciechowska-Bason, Z. Breese, and L. A. Sazanov, “A universal coupling mechanism of respiratory complex I,” Nature, vol. 609, no. 7928. Springer Nature, pp. 808–814, 2022.
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| PubMed | Europe PMC
2022 | Published | Thesis | IST-REx-ID: 12364 |
C. Dotter, “Transcriptional consequences of mutations in genes associated with Autism Spectrum Disorder,” Institute of Science and Technology Austria, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 11420 |
A. Shevchenko, V. Kungurtsev, and M. Mondelli, “Mean-field analysis of piecewise linear solutions for wide ReLU networks,” Journal of Machine Learning Research, vol. 23, no. 130. Journal of Machine Learning Research, pp. 1–55, 2022.
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| arXiv
2022 | Published | Thesis | IST-REx-ID: 11393 |
M. Jevtic, “Contextual fear learning induced changes in AMPA receptor subtypes along the proximodistal axis in dorsal hippocampus,” Institute of Science and Technology Austria, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 7577 |
Y. Shehu and O. S. Iyiola, “Weak convergence for variational inequalities with inertial-type method,” Applicable Analysis, vol. 101, no. 1. Taylor & Francis, pp. 192–216, 2022.
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| arXiv
2022 | Draft | Preprint | IST-REx-ID: 11943 |
P. Velicky et al., “Saturated reconstruction of living brain tissue,” bioRxiv. Cold Spring Harbor Laboratory.
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2022 | Draft | Preprint | IST-REx-ID: 11950 |
J. M. Michalska et al., “Uncovering brain tissue architecture across scales with super-resolution light microscopy,” bioRxiv. Cold Spring Harbor Laboratory.
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2022 | Published | Journal Article | IST-REx-ID: 10767 |
R. K. Kelemen, M. N. Elkrewi, A. K. Lindholm, and B. Vicoso, “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, vol. 289, no. 1968. The Royal Society, p. 20211985, 2022.
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2022 | Published | Conference Paper | IST-REx-ID: 11775 |
T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “Abstract monitors for quantitative specifications,” in 22nd International Conference on Runtime Verification, Tbilisi, Georgia, 2022, vol. 13498, pp. 200–220.
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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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| arXiv
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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| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 14278 |
I. Koval, “Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse,” arXiv. .
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| arXiv