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370 Publications
2023 | Published | Conference Poster | IST-REx-ID: 12736 | 
Aksenov, V., Brown, T. A., Fedorov, A., & Kokorin, I. (2023). Unexpected scaling in path copying trees. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (pp. 438–440). Montreal, QB, Canada: Association for Computing Machinery. https://doi.org/10.1145/3572848.3577512
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2023 | Published | Conference Abstract | IST-REx-ID: 14863 |
Polesello, A., Muller, C. J., Pasquero, C., & Meroni, A. N. (2023). Intensification mechanisms of tropical cyclones. In EGU General Assembly 2023. Vienna, Austria & Virtual: European Geosciences Union. https://doi.org/10.5194/egusphere-egu23-6157
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2023 | Published | Journal Article | IST-REx-ID: 12890 |
Klausen, F. R., & Lauritsen, A. B. (2023). Stochastic cellular automaton model of culture formation. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.108.054307
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2023 | Research Data | IST-REx-ID: 12869 |
Klausen, F. R., & Lauritsen, A. B. (2023). Research data for: A stochastic cellular automaton model of culture formation. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:12869
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2023 | Published | Journal Article | IST-REx-ID: 12545 |
Rojas Vega, M. N., De Castro, P., & Soto, R. (2023). Wetting dynamics by mixtures of fast and slow self-propelled particles. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.107.014608
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2023 | Published | Conference Paper | IST-REx-ID: 13221 |
Boker, U., Henzinger, T. A., Mazzocchi, N. A., & Sarac, N. E. (2023). Safety and liveness of quantitative automata. In 34th International Conference on Concurrency Theory (Vol. 279). Antwerp, Belgium: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2023.17
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2023 | Published | Conference Paper | IST-REx-ID: 13310 |
Henzinger, T. A., Karimi, M., Kueffner, K., & Mallik, K. (2023). Monitoring algorithmic fairness. In Computer Aided Verification (Vol. 13965, pp. 358–382). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37703-7_17
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 12467 |
Henzinger, T. A., Mazzocchi, N. A., & Sarac, N. E. (2023). Quantitative safety and liveness. In 26th International Conference Foundations of Software Science and Computation Structures (Vol. 13992, pp. 349–370). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30829-1_17
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2023 | Published | Thesis | IST-REx-ID: 12716 |
Burnett, L. (2023). To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12716
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2023 | Published | Conference Poster | IST-REx-ID: 15292 |
Chen, Y.-L., Ly, M., & Wojtan, C. (2023). Unified treatment of contact, friction and shock-propagation in rigid body animation. Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation. Los Angeles, CA, United States: ACM. https://doi.org/10.1145/3606037.3606836
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2023 | Published | Conference Paper | IST-REx-ID: 12676 |
Chatterjee, K., Meggendorfer, T., Saona Urmeneta, R. J., & Svoboda, J. (2023). Faster algorithm for turn-based stochastic games with bounded treewidth. In Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 4590–4605). Florence, Italy: Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977554.ch173
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2023 | Published | Conference Paper | IST-REx-ID: 13053 |
Krumes, A., Vladu, A., Kurtic, E., Lampert, C., & Alistarh, D.-A. (2023). CrAM: A Compression-Aware Minimizer. In 11th International Conference on Learning Representations . Kigali, Rwanda : OpenReview.
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2023 | Published | Journal Article | IST-REx-ID: 14425 |
Zeng, Z., Wodaczek, F., Liu, K., Stein, F., Hutter, J., Chen, J., & Cheng, B. (2023). Mechanistic insight on water dissociation on pristine low-index TiO2 surfaces from machine learning molecular dynamics simulations. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-41865-8
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2023 | Published | Journal Article | IST-REx-ID: 13049 |
Freire, M., Bhargava, M., Schreck, C., Hugron, P.-A., Bickel, B., & Lefebvre, S. (2023). PCBend: Light up your 3D shapes with foldable circuit boards. Transactions on Graphics. Los Angeles, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3592411
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2023 | Published | Journal Article | IST-REx-ID: 12349 |
Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., & Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-023-01280-0
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2023 | Research Data | IST-REx-ID: 12370 |
Gupta, D., Sumser, A. L., & Jösch, M. A. (2023). Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:12370
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2023 | Published | Conference Paper | IST-REx-ID: 12859 |
Bombari, S., Kiyani, S., & Mondelli, M. (2023). Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 2738–2776). Honolulu, HI, United States: ML Research Press.
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2023 | Published | Conference Paper | IST-REx-ID: 14735 |
Stefo, C., Xiang, Z., & Kokoris Kogias, E. (2023). Executing and proving over dirty ledgers. In 27th International Conference on Financial Cryptography and Data Security (Vol. 13950, pp. 3–20). Bol, Brac, Croatia: Springer Nature. https://doi.org/10.1007/978-3-031-47754-6_1
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2023 | Published | Journal Article | IST-REx-ID: 13314 |
Dunajova, Z., Prats Mateu, B., Radler, P., Lim, K., Brandis, D., Velicky, P., … Loose, M. (2023). Chiral and nematic phases of flexible active filaments. Nature Physics. Springer Nature. https://doi.org/10.1038/s41567-023-02218-w
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2023 | Published | Thesis | IST-REx-ID: 13074 |
Krumes, A. (2023). Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:13074
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