Wang, P., Fu, H., Chatterjee, K., Deng, Y., &; Xu, M. (2020). Proving expected sensitivity of probabilistic programs with randomized variable-dependent termination time. In Proceedings of the ACM on Programming Languages (Vol. 4). ACM.https://doi.org/10.1145/3371093 

Salazar, J. E., Severin, D., Vega Zuniga, T. A., Fernández-Aburto, P., Deichler, A., Sallaberry A., M., &; Mpodozis, J. (2020). Anatomical specializations related to foraging in the visual system of a nocturnal insectivorous bird, the band-winged nightjar (Aves: Caprimulgiformes). Brain, Behavior and Evolution. Karger Publishers.https://doi.org/10.1159/000504162 

Alt, J., Erdös, L., Krüger, T. H., &; Schröder, D. J. (2020). Correlated random matrices: Band rigidity and edge universality. Annals of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/19-AOP1379 

Moulinier-Anzola, J., Schwihla, M., De-Araújo, L., Artner, C., Jörg, L., Konstantinova, N.,https://doi.org/10.1016/j.molp.2020.02.012__Korbei, B. (2020). TOLs function as ubiquitin receptors in the early steps of the ESCRT pathway in higher plants. Molecular Plant. Elsevier.https://doi.org/10.1016/j.molp.2020.02.012 

Rosa, H. V. D., Leonardo, D. A., Brognara, G., Brandão-Neto, J., D’Muniz Pereira, H., Araújo, A. P. U., &; Garratt, R. C. (2020). Molecular recognition at septin interfaces: The switches hold the key. Journal of Molecular Biology. Elsevier.https://doi.org/10.1016/j.jmb.2020.09.001 

Ishida, S., Synak, P., Narita, F., Hachisuka, T., &; Wojtan, C. (2020). A model for soap film dynamics with evolving thickness. ACM Transactions on Graphics. Association for Computing Machinery.https://doi.org/10.1145/3386569.3392405 

Czumaj, A., Davies, P., &; Parter, M. (2020). Graph sparsification for derandomizing massively parallel computation with low space. In Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020) (pp. 175–185). Virtual Event, United States: Association for Computing Machinery.https://doi.org/10.1145/3350755.3400282 

Brown, T. A., Prokopec, A., &; Alistarh, D.-A. (2020). Non-blocking interpolation search trees with doubly-logarithmic running time. In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (pp. 276–291). San Diego, CA, United States: Association for Computing Machinery.https://doi.org/10.1145/3332466.3374542 

Alistarh, D.-A., Brown, T. A., &; Singhal, N. (2020). Memory tagging: Minimalist synchronization for scalable concurrent data structures. In Annual ACM Symposium on Parallelism in Algorithms and Architectures (pp. 37–49). Virtual Event, United States: Association for Computing Machinery.https://doi.org/10.1145/3350755.3400213 

Koval, N., Sokolova, M., Fedorov, A., Alistarh, D.-A., &; Tsitelov, D. (2020). Testing concurrency on the JVM with Lincheck. In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP (pp. 423–424). San Diego, CA, United States: Association for Computing Machinery.https://doi.org/10.1145/3332466.3374503 

Alistarh, D.-A., Aspnes, J., Ellen, F., Gelashvili, R., &; Zhu, L. (2020). Brief Announcement: Why Extension-Based Proofs Fail. In Proceedings of the 39th Symposium on Principles of Distributed Computing (pp. 54–56). Virtual, Italy: Association for Computing Machinery.https://doi.org/10.1145/3382734.3405743 

Sperl, G., Narain, R., &; Wojtan, C. (2020). Homogenized yarn-level cloth. ACM Transactions on Graphics. Association for Computing Machinery.https://doi.org/10.1145/3386569.3392412 

Pkalski, J., Rzadkowski, W., &; Panagiotopoulos, A. Z. (2020). Shear-induced ordering in systems with competing interactions: A machine learning study. The Journal of Chemical Physics. AIP Publishing.https://doi.org/10.1063/5.0005194 

Ghazaryan, A., Lopes, P. L. S., Hosur, P., Gilbert, M. J., &; Ghaemi, P. (2020). Effect of Zeeman coupling on the Majorana vortex modes in iron-based topological superconductors. Physical Review B. American Physical Society.https://doi.org/10.1103/PhysRevB.101.020504 

Wu, Y., Krishnakumar, R., Martínez-Rincón, J., Malia, B. K., Hosten, O., &; Kasevich, M. A. (2020). Retrieval of cavity-generated atomic spin squeezing after free-space release. Physical Review A. American Physical Society.https://doi.org/10.1103/PhysRevA.102.012224 

Jeschke, S., Hafner, C., Chentanez, N., Macklin, M., Müller-Fischer, M., &; Wojtan, C. (2020). Making procedural water waves boundary-aware. Computer Graphics Forum. Online Symposium: Wiley.https://doi.org/10.1111/cgf.14100 

Brázdil, T., Chatterjee, K., Novotný, P., &; Vahala, J. (2020). Reinforcement learning of risk-constrained policies in Markov decision processes. Proceedings of the 34th AAAI Conference on Artificial Intelligence. New York, NY, United States: Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v34i06.6531 

Park, S., Artan, M., Han, S. H., Park, H.-E. H., Jung, Y., Hwang, A. B.,https://doi.org/10.1126/sciadv.aaw7824__Lee, S.-J. V. (2020). VRK-1 extends life span by activation of AMPK via phosphorylation. Science Advances. American Association for the Advancement of Science.https://doi.org/10.1126/sciadv.aaw7824 

Pinotsis, N., Zielinska, K., Babuta, M., Arolas, J. L., Kostan, J., Khan, M. B.,https://doi.org/10.1073/pnas.1917269117__Djinovic-Carugo, K. (2020). Calcium modulates the domain flexibility and function of an ;1-actinin similar to the ancestral ;1-actinin. Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences.https://doi.org/10.1073/pnas.1917269117 

Bauer, U., Edelsbrunner, H., Jablonski, G., &; Mrozek, M. (2020). cech-Delaunay gradient flow and homology inference for self-maps. Journal of Applied and Computational Topology. Springer Nature.https://doi.org/10.1007/s41468-020-00058-8