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Alistarh, Dan-Adrian. “A Brief Tutorial on Distributed and Concurrent Machine Learning.”10.1145/3212734.3212798__Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 487–88, doi:10.1145/3212734.3212798.
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Alistarh, Dan-Adrian, et al. “Relaxed Schedulers Can Efficiently Parallelize Iterative Algorithms.”10.1145/3212734.3212756__Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 377–86, doi:10.1145/3212734.3212756.
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Alistarh, Dan-Adrian, et al. “Distributionally Linearizable Data Structures.”10.1145/3210377.3210411__Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, ACM Press, 2018, pp. 133–42, doi:10.1145/3210377.3210411.
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Hansen, Kristoffer Arnsfelt, et al. “The Big Match with a Clock and a Bit of Memory.”10.1145/3219166.3219198__Proceedings of the 2018 ACM Conference on Economics and Computation  - EC ’18, ACM Press, 2018, pp. 149–50, doi:10.1145/3219166.3219198.
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Alistarh, Dan-Adrian, et al. “The Transactional Conflict Problem.”10.1145/3210377.3210406__Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, ACM Press, 2018, pp. 383–92, doi:10.1145/3210377.3210406.
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Kolmogorov, Vladimir. “Commutativity in the Algorithmic Lovász Local Lemma.”10.1137/16m1093306__SIAM Journal on Computing, vol. 47, no. 6, Society for Industrial &; Applied Mathematics (SIAM), 2018, pp. 2029–56, doi:10.1137/16m1093306.
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Aksenov, Vitaly, et al. “Brief Announcement: Performance Prediction for Coarse-Grained Locking.”10.1145/3212734.3212785__Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 411–13, doi:10.1145/3212734.3212785.
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Morri, Maurizio, et al. “Optical Functionalization of Human Class A Orphan G-Protein-Coupled Receptors.”10.1038/s41467-018-04342-1__Nature Communications, vol. 9, no. 1, 1950, Springer Nature, 2018, doi:10.1038/s41467-018-04342-1.
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Malomo, Luigi, et al. “FlexMaps: Computational Design of Flat Flexible Shells for Shaping 3D Objects.”10.1145/3272127.3275076__ACM Transactions on Graphics, vol. 37, no. 6, 241, Association for Computing Machinery (ACM), 2018, doi:10.1145/3272127.3275076.
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Zhang, Yu, et al. “Tin Diselenide Molecular Precursor for Solution-Processable Thermoelectric Materials.”10.1002/anie.201809847__Angewandte Chemie International Edition, vol. 57, no. 52, Wiley, 2018, pp. 17063–68, doi:10.1002/anie.201809847.
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Haller, Stefan, et al. “Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation.” Proceedings of the 32st AAAI Conference on Artificial Intelligence, AAAI Press, 2018, pp. 6581–88.
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Chatterjee, Sanjit, et al. “Private Set-Intersection with Common Set-Up.”10.3934/amc.2018002__American Institute of Mathematical Sciences, vol. 12, no. 1, AIMS, 2018, pp. 17–47, doi:10.3934/amc.2018002.
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Velicky, Philipp, et al. “Genome Amplification and Cellular Senescence Are Hallmarks of Human Placenta Development.”10.1371/journal.pgen.1007698__PLOS Genetics, vol. 14, no. 10, e1007698, Public Library of Science, 2018, doi:10.1371/journal.pgen.1007698.
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Usmanova, Dinara R., et al. “Self-Consistency Test Reveals Systematic Bias in Programs for Prediction Change of Stability upon Mutation.”10.1093/bioinformatics/bty340__Bioinformatics, vol. 34, no. 21, Oxford University Press , 2018, pp. 3653–58, doi:10.1093/bioinformatics/bty340.
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Dolati, Setareh, et al. “On the Relation between Filament Density, Force Generation, and Protrusion Rate in Mesenchymal Cell Motility.”10.1091/mbc.e18-02-0082__Molecular Biology of the Cell, vol. 29, no. 22, American Society for Cell Biology , 2018, pp. 2674–86, doi:10.1091/mbc.e18-02-0082.
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