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Cultrera di Montesano S, Edelsbrunner H, Henzinger MH, Ost L. Dynamically maintaining the persistent homology of time series. In: Woodruff DP, ed. Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). Society for Industrial and Applied Mathematics; 2024:243-295. doi:10.1137/1.9781611977912.11
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Svoboda J, Joshi SS, Tkadlec J, Chatterjee K. Amplifiers of selection for the Moran process with both Birth-death and death-Birth updating. PLoS Computational Biology. 2024;20(3). doi:10.1371/journal.pcbi.1012008
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Olusanya OO. Local adaptation, genetic load and extinction in metapopulations. 2024. doi:10.15479/at:ista:14711
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Vercellino I, Sazanov LA. SCA drives the compositional diversity of mammalian respirasomes. Nature Structural and Molecular Biology. 2024. doi:10.1038/s41594-024-01255-0
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Bonolis D, Browning TD, Huang Z. Density of rational points on some quadric bundle threefolds. Mathematische Annalen. 2024. doi:10.1007/s00208-024-02854-4
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Dvorak M, Kolmogorov V. Generalized minimum 0-extension problem and discrete convexity. Mathematical Programming. 2024. doi:10.1007/s10107-024-02064-5
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Gnyliukh N, Johnson AJ, Nagel M, et al. Role of dynamin-related proteins 2 and S in clathrin-mediated endocytosis in Arabidopsis thaliana. Journal of Cell Science. 2024. doi:10.1242/jcs.261720
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Andrianova MA, Seplyarskiy VB, Terradas M, et al. Discovery of recessive effect of human polymerase ;4 proofreading deficiency through mutational analysis of POL-mutated normal and cancer cells. European Journal of Human Genetics. 2024. doi:10.1038/s41431-024-01598-8
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Chen J. Developmental transformation of nanodomain coupling between C+ channels and release sensors at a central GABAergic synapse. 2024. doi:10.15479/at:ista:15101
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Hannezo EB, Scheele CLGJ. A Guide Toward Multi-scale and Quantitative Branching Analysis in the Mammary Gland. In: Margadant C, ed. Cell Migration in Three Dimensions. Vol 2608. MIMB. Springer Nature; 2023:183-205. doi:10.1007/978-1-0716-2887-4_12
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Chatterjee K, Meggendorfer T, Saona Urmeneta RJ, Svoboda J. Faster algorithm for turn-based stochastic games with bounded treewidth. In: Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics; 2023:4590-4605. doi:10.1137/1.9781611977554.ch173
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Koval N, Alistarh D-A, Elizarov R. Fast and scalable channels in Kotlin Coroutines. In: Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. Association for Computing Machinery; 2023:107-118. doi:10.1145/3572848.3577481
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Aksenov V, Brown TA, Fedorov A, Kokorin I. Unexpected Scaling in Path Copying Trees. Association for Computing Machinery; 2023:438-440. doi:10.1145/3572848.3577512
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Burnett L. To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism. 2023. doi:10.15479/at:ista:12716
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Chalupa M, Henzinger TA. Bubaak: Runtime monitoring of program verifiers. In: Tools and Algorithms for the Construction and Analysis of Systems. Vol 13994. Springer Nature; 2023:535-540. doi:10.1007/978-3-031-30820-8_32
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Chalupa M, Mühlböck F, Muroya Lei S, Henzinger TA. Vamos: Middleware for best-effort third-party monitoring. In: Fundamental Approaches to Software Engineering. Vol 13991. Springer Nature; 2023:260-281. doi:10.1007/978-3-031-30826-0_15
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Chalupa M, Mühlböck F, Muroya Lei S, Henzinger TA. VAMOS: Middleware for Best-Effort Third-Party Monitoring. Institute of Science and Technology Austria; 2023. doi:10.15479/AT:ISTA:12407
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Peste E-A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. In: 11th International Conference on Learning Representations .
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Chatterjee K, Henzinger TA, Lechner M, Zikelic D. 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. Springer Nature; 2023:3-25. doi:10.1007/978-3-031-30823-9_1
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Pokusaeva V. Neural control of optic flow-based navigation in Drosophila melanogaster. 2023. doi:10.15479/at:ista:12826
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Koval N, Khalanskiy D, Alistarh D-A. CQS: A formally-verified framework for fair and abortable synchronization. Proceedings of the ACM on Programming Languages. 2023;7. doi:10.1145/3591230
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Elefante S, Stadlbauer S, Alexander MF, Schlögl A. Cryo-EM software packages: A sys-admins point of view. In: ASHP - Austrian-Slovenian HPC Meeting 2023. EuroCC; :42-42.
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Henzinger TA, Kebis P, Mazzocchi NA, Sarac NE. Regular methods for operator precedence languages. In: 50th International Colloquium on Automata, Languages, and Programming. Vol 261. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2023:129:1--129:20. doi:10.4230/LIPIcs.ICALP.2023.129
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Fäßler F, Javoor M, Schur FK. Deciphering the molecular mechanisms of actin cytoskeleton regulation in cell migration using cryo-EM. Biochemical Society Transactions. 2023;51(1):87-99. doi:10.1042/bst20220221
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Balestrieri F. Some remarks on strong approximation and applications to homogeneous spaces of linear algebraic groups. Proceedings of the American Mathematical Society. 2023;151(3):907-914. doi:10.1090/proc/15239
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Villalba Requena A, Hippenmeyer S. Going back in time with TEMPO. Neuron. 2023;111(3):291-293. doi:10.1016/j.neuron.2023.01.006
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Alistarh D-A, Ellen F, Rybicki J. Wait-free approximate agreement on graphs. Theoretical Computer Science. 2023;948(2). doi:10.1016/j.tcs.2023.113733
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Dubief Y, Terrapon VE, Hof B. Elasto-inertial turbulence. Annual Review of Fluid Mechanics. 2023;55(1):675-705. doi:10.1146/annurev-fluid-032822-025933
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Avila M, Barkley D, Hof B. Transition to turbulence in pipe flow. Annual Review of Fluid Mechanics. 2023;55:575-602. doi:10.1146/annurev-fluid-120720-025957
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Lechner M, Amini A, Rus D, Henzinger TA. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. IEEE Robotics and Automation Letters. 2023;8(3):1595-1602. doi:10.1109/LRA.2023.3240930
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Volosniev A, Shiva Kumar A, Lorenc D, et al. Spin-electric coupling in lead halide perovskites. Physical Review Letters. 2023;130(10). doi:10.1103/physrevlett.130.106901
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Volosniev A, Shiva Kumar A, Lorenc D, et al. Effective model for studying optical properties of lead halide perovskites. Physical Review B. 2023;107(12). doi:10.1103/physrevb.107.125201
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Rothman JS, Borges Merjane C, Holderith N, Jonas PM, Angus Silver R. Validation of a stereological method for estimating particle size and density from 2D projections with high accuracy. PLoS ONE. 2023;18(3 March). doi:10.1371/journal.pone.0277148
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Pak MA, Markhieva KA, Novikova MS, et al. Using AlphaFold to predict the impact of single mutations on protein stability and function. PLoS ONE. 2023;18(3). doi:10.1371/journal.pone.0282689
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Sazanov LA. From the ack box”10.1042/BCJ20210285__to mino effect”10.1042/BCJ20210285__mechanism: What have we learned from the structures of respiratory complex I. The Biochemical Journal. 2023;480(5):319-333. doi:10.1042/BCJ20210285
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Svoboda J, Tkadlec J, Kaveh K, Chatterjee K. Coexistence times in the Moran process with environmental heterogeneity. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2023;479(2271). doi:10.1098/rspa.2022.0685
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Karle V, Ghazaryan A, Lemeshko M. Topological charges of periodically kicked molecules. Physical Review Letters. 2023;130(10). doi:10.1103/PhysRevLett.130.103202
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Chen C, Zhang Y, Cai J, et al. Multi-copper oxidases SK and SK coordinate cell wall formation using apoplastic redox-based reactions in roots. Plant Physiology. 2023;192(3):2243-2260. doi:10.1093/plphys/kiad207
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Grosjean GM, Waitukaitis SR. Asymmetries in triboelectric charging: Generalizing mosaic models to different-material samples and sliding contacts. Physical Review Materials. 2023;7(6). doi:10.1103/physrevmaterials.7.065601
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Charlton JA, Mlynarski WF, Bai YH, Hermundstad AM, Goris RLT. Environmental dynamics shape perceptual decision bias. PLoS Computational Biology. 2023;19(6). doi:10.1371/journal.pcbi.1011104
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