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5939 Publications

2022 | Published | Journal Article | IST-REx-ID: 11160 | OA
CHD8 haploinsufficiency links autism to transient alterations in excitatory and inhibitory trajectories
C.E. Villa, C. Cheroni, C. Dotter, A. López-Tóbon, B. Oliveira, R. Sacco, A.Ç. Yahya, J. Morandell, M. Gabriele, M. Tavakoli, J. Lyudchik, C.M. Sommer, M. Gabitto, J.G. Danzl, G. Testa, G. Novarino, Cell Reports 39 (2022).
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2022 | Published | Journal Article | IST-REx-ID: 12138 | OA
A universal coupling mechanism of respiratory complex I
V. Kravchuk, O. Petrova, D. Kampjut, A. Wojciechowska-Bason, Z. Breese, L.A. Sazanov, Nature 609 (2022) 808–814.
[Submitted Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2022 | Published | Thesis | IST-REx-ID: 12364 | OA
Transcriptional consequences of mutations in genes associated with Autism Spectrum Disorder
C. Dotter, Transcriptional Consequences of Mutations in Genes Associated with Autism Spectrum Disorder, Institute of Science and Technology Austria, 2022.
[Published Version] View | Files available | DOI
 
2022 | Published | Journal Article | IST-REx-ID: 11420 | OA
Mean-field analysis of piecewise linear solutions for wide ReLU networks
A. Shevchenko, V. Kungurtsev, M. Mondelli, Journal of Machine Learning Research 23 (2022) 1–55.
[Published Version] View | Files available | arXiv
 
2022 | Published | Thesis | IST-REx-ID: 11393 | OA
Contextual fear learning induced changes in AMPA receptor subtypes along the proximodistal axis in dorsal hippocampus
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.
[Published Version] View | Files available | DOI
 
2022 | Published | Journal Article | IST-REx-ID: 7577 | OA
Weak convergence for variational inequalities with inertial-type method
Y. Shehu, O.S. Iyiola, Applicable Analysis 101 (2022) 192–216.
[Submitted Version] View | Files available | DOI | WoS | arXiv
 
2022 | Draft | Preprint | IST-REx-ID: 11943 | OA
Saturated reconstruction of living brain tissue
P. Velicky, E. Miguel Villalba, J.M. Michalska, D. Wei, Z. Lin, J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, BioRxiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
2022 | Draft | Preprint | IST-REx-ID: 11950 | OA
Uncovering brain tissue architecture across scales with super-resolution light microscopy
J.M. Michalska, J. Lyudchik, P. Velicky, H. Korinkova, J. Watson, A. Cenameri, C.M. Sommer, A. Venturino, K. Roessler, T. Czech, S. Siegert, G. Novarino, P.M. Jonas, J.G. Danzl, BioRxiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
2022 | Published | Journal Article | IST-REx-ID: 10767 | OA
Novel patterns of expression and recruitment of new genes on the t-haplotype, a mouse selfish chromosome
R.K. Kelemen, M.N. Elkrewi, A.K. Lindholm, B. Vicoso, Proceedings of the Royal Society B: Biological Sciences 289 (2022) 20211985.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2022 | Published | Conference Paper | IST-REx-ID: 11775 | OA
Abstract monitors for quantitative specifications
T.A. Henzinger, N.A. Mazzocchi, N.E. Sarac, in:, 22nd International Conference on Runtime Verification, Springer Nature, 2022, pp. 200–220.
[Published Version] View | Files available | DOI | WoS
 
2021 | Published | Journal Article | IST-REx-ID: 14117 | OA
Toward causal representation learning
B. Scholkopf, F. Locatello, S. Bauer, N.R. Ke, N. Kalchbrenner, A. Goyal, Y. Bengio, Proceedings of the IEEE 109 (2021) 612–634.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14176 | OA
Neighborhood contrastive learning applied to online patient monitoring
H. Yèche, G. Dresdner, F. Locatello, M. Hüser, G. Rätsch, in:, Proceedings of 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 11964–11974.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14177 | OA
On disentangled representations learned from correlated data
F. Träuble, E. Creager, N. Kilbertus, F. Locatello, A. Dittadi, A. Goyal, B. Schölkopf, S. Bauer, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 10401–10412.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14178 | OA
On the transfer of disentangled representations in realistic settings
A. Dittadi, F. Träuble, F. Locatello, M. Wüthrich, V. Agrawal, O. Winther, S. Bauer, B. Schölkopf, in:, The Ninth International Conference on Learning Representations, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14179 | OA
Self-supervised learning with data augmentations provably isolates content from style
J. von Kügelgen, Y. Sharma, L. Gresele, W. Brendel, B. Schölkopf, M. Besserve, F. Locatello, in:, Advances in Neural Information Processing Systems, 2021, pp. 16451–16467.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14180 | OA
Dynamic inference with neural interpreters
N. Rahaman, M.W. Gondal, S. Joshi, P. Gehler, Y. Bengio, F. Locatello, B. Schölkopf, in:, Advances in Neural Information Processing Systems, 2021, pp. 10985–10998.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14181 | OA
Boosting variational inference with locally adaptive step-sizes
G. Dresdner, S. Shekhar, F. Pedregosa, F. Locatello, G. Rätsch, in:, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2021, pp. 2337–2343.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14182 | OA
Backward-compatible prediction updates: A probabilistic approach
F. Träuble, J. von Kügelgen, M. Kleindessner, F. Locatello, B. Schölkopf, P. Gehler, in:, 35th Conference on Neural Information Processing Systems, 2021, pp. 116–128.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Submitted | Preprint | IST-REx-ID: 14221 | OA [Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2021 | Submitted | Preprint | IST-REx-ID: 14278 | OA [Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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