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arXiv: 2310.14801

Burnett, L., Koppensteiner, P., Symonova, O., Masson, T., Vega Zuniga, T. A., Contreras, X.,https://doi.org/10.1371/journal.pbio.3002668__Jösch, M. A. (2024). Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.3002668 
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Burnett, L., Koppensteiner, P., Symonova, O., Masson, T., Vega Zuniga, T. A., Contreras, X.,https://doi.org/10.15479/AT:ISTA:15385__Jösch, M. A. (2024). Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:15385 
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Schlögl, A., Khalid, W., Elefante, S., &; Stadlbauer, S. (2024). How much memory per CPU core is requested? In ASHP - Austrian-Slovenian HPC Meeting 2024 (p. 46). Grundlsee, Austria: EuroCC Austria.https://doi.org/10.25365/phaidra.463 
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Hannezo, E. B., &; Scheele, C. L. G. J. (2023). A Guide Toward Multi-scale and Quantitative Branching Analysis in the Mammary Gland. In C. Margadant (Ed.), Cell Migration in Three Dimensions (Vol. 2608, pp. 183–205). Springer Nature.https://doi.org/10.1007/978-1-0716-2887-4_12 
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Ghazaryan, A., Cappellaro, A., Lemeshko, M., &; Volosniev, A. (2023). Dissipative dynamics of an impurity with spin-orbit coupling. Physical Review Research. American Physical Society.https://doi.org/10.1103/physrevresearch.5.013029 
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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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Koval, N., Alistarh, D.-A., &; Elizarov, R. (2023). Fast and scalable channels in Kotlin Coroutines. In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (pp. 107–118). Montreal, QC, Canada: Association for Computing Machinery.https://doi.org/10.1145/3572848.3577481 
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arXiv: 2211.04986

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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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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Chalupa, M., &; Henzinger, T. A. (2023). Bubaak: Runtime monitoring of program verifiers. In Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13994, pp. 535–540). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30820-8_32 
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Chalupa, M., Mühlböck, F., Muroya Lei, S., &; Henzinger, T. A. (2023). Vamos: Middleware for best-effort third-party monitoring. In Fundamental Approaches to Software Engineering (Vol. 13991, pp. 260–281). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30826-0_15 
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Chalupa, M., Mühlböck, F., Muroya Lei, S., &; Henzinger, T. A. (2023). VAMOS: Middleware for Best-Effort Third-Party Monitoring. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12407 
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Lieutier, A., &; Wintraecken, M. (2023). Hausdorff and Gromov-Hausdorff stable subsets of the medial axis. In Proceedings of the 55th Annual ACM Symposium on Theory of Computing (pp. 1768–1776). Orlando, FL, United States: Association for Computing Machinery.https://doi.org/10.1145/3564246.3585113 
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arXiv: 2303.04014

Peste, E.-A., Vladu, A., Kurtic, E., Lampert, C., &; Alistarh, D.-A. (n.d.). CrAM: A Compression-Aware Minimizer. In 11th International Conference on Learning Representations . Kigali, Rwanda .
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Hoffmann, C., Hubádek, P., Kamath, C., &; Pietrzak, K. Z. (2023). Certifying giant nonprimes. In Public-Key Cryptography - PKC 2023 (Vol. 13940, pp. 530–553). Atlanta, GA, United States: Springer Nature.https://doi.org/10.1007/978-3-031-31368-4_19 
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Chatterjee, K., Henzinger, T. A., Lechner, M., &; Zikelic, D. (2023). A learner-verifier framework for neural network controllers and certificates of stochastic systems. In Tools and Algorithms for the Construction and Analysis of Systems  (Vol. 13993, pp. 3–25). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30823-9_1 
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Pokusaeva, V. (2023). Neural control of optic flow-based navigation in Drosophila melanogaster. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12826 
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Edelsbrunner, H., &; Osang, G. F. (2023). A simple algorithm for higher-order Delaunay mosaics and alpha shapes. Algorithmica. Springer Nature.https://doi.org/10.1007/s00453-022-01027-6 
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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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arXiv: 2301.11175