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6079 Publications

2020 | Published | Preprint | IST-REx-ID: 9750 | OA
J. Slovakova et al., “Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion,” bioRxiv. Cold Spring Harbor Laboratory, 2020.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
2020 | Published | Journal Article | IST-REx-ID: 6918 | OA
A. K. Goharshady and F. Mohammadi, “An efficient algorithm for computing network reliability in small treewidth,” Reliability Engineering and System Safety, vol. 193. Elsevier, 2020.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 7810 | OA
K. Chatterjee, A. K. Goharshady, R. Ibsen-Jensen, and A. Pavlogiannis, “Optimal and perfectly parallel algorithms for on-demand data-flow analysis,” in European Symposium on Programming, Dublin, Ireland, 2020, vol. 12075, pp. 112–140.
[Published Version] View | Files available | DOI | WoS
 
2020 | Published | Conference Paper | IST-REx-ID: 8728 | OA
A. Asadi, K. Chatterjee, A. K. Goharshady, K. Mohammadi, and A. Pavlogiannis, “Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth,” in Automated Technology for Verification and Analysis, Hanoi, Vietnam, 2020, vol. 12302, pp. 253–270.
[Submitted Version] View | Files available | DOI | WoS
 
2020 | Published | Conference Paper | IST-REx-ID: 8089 | OA
K. Chatterjee, H. Fu, A. K. Goharshady, and E. K. Goharshady, “Polynomial invariant generation for non-deterministic recursive programs,” in Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, London, United Kingdom, 2020, pp. 672–687.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 8986 | OA
Y. Zhang, L. Rodriguez Solovey, L. Li, X. Zhang, and J. Friml, “Functional innovations of PIN auxin transporters mark crucial evolutionary transitions during rise of flowering plants,” Science Advances, vol. 6, no. 50. AAAS, 2020.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2020 | Published | Journal Article | IST-REx-ID: 8283 | OA
H. Chen et al., “AcoMYB4, an Ananas comosus L. MYB transcription factor, functions in osmotic stress through negative regulation of ABA signaling,” International Journal of Molecular Sciences, vol. 21, no. 16. MDPI, 2020.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2020 | Published | Thesis | IST-REx-ID: 8620 | OA
J. Morandell, “Illuminating the role of Cul3 in autism spectrum disorder pathogenesis,” Institute of Science and Technology Austria, 2020.
[Published Version] View | Files available | DOI
 
2020 | Draft | Preprint | IST-REx-ID: 7800 | OA
J. Morandell et al., “Cul3 regulates cytoskeleton protein homeostasis and cell migration during a critical window of brain development,” bioRxiv. Cold Spring Harbor Laboratory.
[Preprint] View | Files available | DOI
 
2020 | Published | Journal Article | IST-REx-ID: 8131 | OA
B. Basilico, J. Morandell, and G. Novarino, “Molecular mechanisms for targeted ASD treatments,” Current Opinion in Genetics and Development, vol. 65, no. 12. Elsevier, pp. 126–137, 2020.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2020 | Published | Journal Article | IST-REx-ID: 7885 | OA
A. Reversat et al., “Cellular locomotion using environmental topography,” Nature, vol. 582. Springer Nature, pp. 582–585, 2020.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | PubMed | Europe PMC
 
2020 | Published | Conference Paper | IST-REx-ID: 9198 | OA
A. Shevchenko and M. Mondelli, “Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks,” in Proceedings of the 37th International Conference on Machine Learning, 2020, vol. 119, pp. 8773–8784.
[Published Version] View | Files available | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14184 | OA
F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, and O. Bachem, “Disentangling factors of variation using few labels,” in 8th International Conference on Learning Representations, Virtual, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14189 | OA
L. Gresele, P. K. Rubenstein, A. Mehrjou, F. Locatello, and B. Schölkopf, “The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA,” in Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence, Tel Aviv, Israel, 2019, vol. 115, pp. 217–227.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14190 | OA
M. W. Gondal et al., “On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14191 | OA
F. Locatello, A. Yurtsever, O. Fercoq, and V. Cevher, “Stochastic Frank-Wolfe for composite convex minimization,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 14291–14301.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14193 | OA
S. van Steenkiste, F. Locatello, J. Schmidhuber, and O. Bachem, “Are disentangled representations helpful for abstract visual reasoning?,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14197 | OA
F. Locatello, G. Abbati, T. Rainforth, S. Bauer, B. Schölkopf, and O. Bachem, “On the fairness of disentangled representations,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 14611–14624.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14200 | OA
F. Locatello et al., “Challenging common assumptions in the unsupervised learning of disentangled representations,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, United States, 2019, vol. 97, pp. 4114–4124.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Journal Article | IST-REx-ID: 10874 | OA
S. Ionica et al., “Modular invariants for genus 3 hyperelliptic curves,” Research in Number Theory, vol. 5. Springer Nature, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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