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5931 Publications
2019 | Published | Journal Article | IST-REx-ID: 6486 | 
Kühnen, J., Scarselli, D., & Hof, B. (2019). Relaminarization of pipe flow by means of 3D-printed shaped honeycombs. Journal of Fluids Engineering. ASME. https://doi.org/10.1115/1.4043494
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2019 | Published | Journal Article | IST-REx-ID: 6228 |
Scarselli, D., Kühnen, J., & Hof, B. (2019). Relaminarising pipe flow by wall movement. Journal of Fluid Mechanics. Cambridge University Press. https://doi.org/10.1017/jfm.2019.191
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2019 | Published | Conference Paper | IST-REx-ID: 6780 |
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
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2019 | Published | Conference Paper | IST-REx-ID: 6490 |
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 |
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 | Conference Paper | IST-REx-ID: 6378 |
Chatterjee, K., Goharshady, A. K., & Pourdamghani, A. (2019). Hybrid Mining: Exploiting blockchain’s computational power for distributed problem solving. In Proceedings of the 34th ACM Symposium on Applied Computing (Vol. Part F147772, pp. 374–381). Limassol, Cyprus: ACM. https://doi.org/10.1145/3297280.3297319
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2019 | Published | Conference Paper | IST-REx-ID: 6175 |
Wang, P., Fu, H., Goharshady, A. K., Chatterjee, K., Qin, X., & Shi, W. (2019). Cost analysis of nondeterministic probabilistic programs. In PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (pp. 204–220). Phoenix, AZ, United States: Association for Computing Machinery. https://doi.org/10.1145/3314221.3314581
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2019 | Published | Conference Paper | IST-REx-ID: 6056 |
Chatterjee, K., Goharshady, A. K., & Pourdamghani, A. (2019). Probabilistic smart contracts: Secure randomness on the blockchain. In IEEE International Conference on Blockchain and Cryptocurrency. Seoul, Korea: IEEE. https://doi.org/10.1109/BLOC.2019.8751326
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2019 | Published | Journal Article | IST-REx-ID: 7014 |
Chatterjee, K., Fu, H., & Goharshady, A. K. (2019). Non-polynomial worst-case analysis of recursive programs. ACM Transactions on Programming Languages and Systems. ACM. https://doi.org/10.1145/3339984
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2019 | Published | Journal Article | IST-REx-ID: 6380 |
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 |
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 |
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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| PubMed | Europe PMC
2019 | Published | Journal Article | IST-REx-ID: 7001 |
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 |
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 |
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
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2018 | Published | Journal Article | IST-REx-ID: 136 |
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
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2018 | Published | Journal Article | IST-REx-ID: 139 |
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
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2018 | Published | Conference Paper | IST-REx-ID: 14198 |
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.
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2018 | Published | Conference Paper | IST-REx-ID: 14201 |
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.
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2018 | Published | Conference Paper | IST-REx-ID: 14202 |
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.
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