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5801 Publications


2019 | Published | Journal Article | IST-REx-ID: 6877
Kopf, A., & Sixt, M. K. (2019). The neural crest pitches in to remove apoptotic debris. Cell. Elsevier. https://doi.org/10.1016/j.cell.2019.08.047
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2019 | Published | Thesis | IST-REx-ID: 6435 | OA
Casillas Perez, B. E. (2019). Collective defenses of garden ants against a fungal pathogen. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:6435
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2019 | Published | Thesis | IST-REx-ID: 6269 | OA
Narasimhan, M. (2019). Clathrin-Mediated endocytosis, post-endocytic trafficking and their regulatory controls in plants . Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:th1075
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2019 | Published | Thesis | IST-REx-ID: 7132 | OA
Mckenzie, C. (2019). Design and characterization of methods and biological components to realize synthetic neurotransmission. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:7132
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2019 | Published | Journal Article | IST-REx-ID: 6848 | OA
Kampjut, D., & Sazanov, L. A. (2019). Structure and mechanism of mitochondrial proton-translocating transhydrogenase. Nature. Springer Nature. https://doi.org/10.1038/s41586-019-1519-2
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2019 | Published | Journal Article | IST-REx-ID: 7391 | OA
Tabata, S., Jevtic, M., Kurashige, N., Fuchida, H., Kido, M., Tani, K., … Ojida, A. (2019). Electron microscopic detection of single membrane proteins by a specific chemical labeling. IScience. Elsevier. https://doi.org/10.1016/j.isci.2019.11.025
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2019 | Published | Conference Paper | IST-REx-ID: 6780 | OA
Huang, M., Fu, H., Chatterjee, K., & Goharshady, A. K. (2019). Modular verification for almost-sure termination of probabilistic programs. In Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications (Vol. 3). Athens, Greece: ACM. https://doi.org/10.1145/3360555
[Published Version] View | Files available | DOI | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 6490 | OA
Chatterjee, K., Goharshady, A. K., & Goharshady, E. K. (2019). The treewidth of smart contracts. In Proceedings of the 34th ACM Symposium on Applied Computing (Vol. Part F147772, pp. 400–408). Limassol, Cyprus: ACM. https://doi.org/10.1145/3297280.3297322
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2019 | Published | Journal Article | IST-REx-ID: 7158 | OA
Chatterjee, K., Goharshady, A. K., Goyal, P., Ibsen-Jensen, R., & Pavlogiannis, A. (2019). Faster algorithms for dynamic algebraic queries in basic RSMs with constant treewidth. ACM Transactions on Programming Languages and Systems. ACM. https://doi.org/10.1145/3363525
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2019 | Published | Journal Article | IST-REx-ID: 6380 | OA
Chatterjee, K., Goharshady, A. K., Okati, N., & Pavlogiannis, A. (2019). Efficient parameterized algorithms for data packing. Proceedings of the ACM on Programming Languages. ACM. https://doi.org/10.1145/3290366
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2019 | Published | Thesis | IST-REx-ID: 6947 | OA
Assen, F. P. (2019). Lymph node mechanics: Deciphering the interplay between stroma contractility, morphology and lymphocyte trafficking. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:6947
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2019 | Published | Journal Article | IST-REx-ID: 6508 | OA
Shamipour, S., Kardos, R., Xue, S., Hof, B., Hannezo, E. B., & Heisenberg, C.-P. J. (2019). Bulk actin dynamics drive phase segregation in zebrafish oocytes. Cell. Elsevier. https://doi.org/10.1016/j.cell.2019.04.030
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2019 | Published | Journal Article | IST-REx-ID: 7001 | OA
Schwayer, C., Shamipour, S., Pranjic-Ferscha, K., Schauer, A., Balda, M., Tada, M., … Heisenberg, C.-P. J. (2019). Mechanosensation of tight junctions depends on ZO-1 phase separation and flow. Cell. Cell Press. https://doi.org/10.1016/j.cell.2019.10.006
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2019 | Published | Journal Article | IST-REx-ID: 6627 | OA
Adamowski, M., Li, L., & Friml, J. (2019). Reorientation of cortical microtubule arrays in the hypocotyl of arabidopsis thaliana is induced by the cell growth process and independent of auxin signaling. International Journal of Molecular Sciences. MDPI. https://doi.org/10.3390/ijms20133337
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2018 | Published | Journal Article | IST-REx-ID: 132 | OA
Sznurkowska, M., Hannezo, E. B., Azzarelli, R., Rulands, S., Nestorowa, S., Hindley, C., … Simons, B. (2018). Defining lineage potential and fate behavior of precursors during pancreas development. Developmental Cell. Cell Press. https://doi.org/10.1016/j.devcel.2018.06.028
[Published Version] View | Files available | DOI | WoS
 

2018 | Published | Journal Article | IST-REx-ID: 136 | OA
Suri, B., Tithof, J., Grigoriev, R., & Schatz, M. (2018). Unstable equilibria and invariant manifolds in quasi-two-dimensional Kolmogorov-like flow. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.98.023105
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 139 | OA
Fraisse, C., Roux, C., Gagnaire, P., Romiguier, J., Faivre, N., Welch, J., & Bierne, N. (2018). The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. PeerJ. PeerJ. https://doi.org/10.7717/peerj.5198
[Published Version] View | Files available | DOI | WoS
 

2018 | Published | Conference Paper | IST-REx-ID: 14198 | OA
Fortuin, V., Hüser, M., Locatello, F., Strathmann, H., & Rätsch, G. (2018). SOM-VAE: Interpretable discrete representation learning on time series. In International Conference on Learning Representations. New Orleans, LA, United States.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Paper | IST-REx-ID: 14201 | OA
Locatello, F., Khanna, R., Ghosh, J., & Rätsch, G. (2018). Boosting variational inference: An optimization perspective. In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (Vol. 84, pp. 464–472). Playa Blanca, Lanzarote: ML Research Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Paper | IST-REx-ID: 14202 | OA
Locatello, F., Dresdner, G., Khanna, R., Valera, I., & Rätsch, G. (2018). Boosting black box variational inference. In Advances in Neural Information Processing Systems (Vol. 31). Montreal, Canada: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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