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4959 Publications
2021 | Preprint | IST-REx-ID: 10579 | 
Kavcic, Bor, and Gašper Tkačik. “Token-Driven Totally Asymmetric Simple Exclusion Process.” ArXiv, 2112.13558, doi:10.48550/arXiv.2112.13558.
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| arXiv
2021 | Journal Article | IST-REx-ID: 10806 |
Calcabrini, Mariano, et al. “Ligand Conversion in Nanocrystal Synthesis: The Oxidation of Alkylamines to Fatty Acids by Nitrate.” JACS Au, vol. 1, no. 11, American Chemical Society, 2021, pp. 1898–903, doi:10.1021/jacsau.1c00349.
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2021 | Conference Abstract | IST-REx-ID: 12909 |
Schlögl, Alois, et al. “Managing Software on a Heterogenous HPC Cluster.” ASHPC21 – Austrian-Slovenian HPC Meeting 2021, University of Ljubljana, 2021, p. 5, doi:10.3359/2021hpc.
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2021 | Conference Paper | IST-REx-ID: 11458 |
Peste, Elena-Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 8557–70.
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| arXiv
2021 | Journal Article | IST-REx-ID: 10585 |
Brooks, Morris, et al. “Emergence of Anyons on the Two-Sphere in Molecular Impurities.” Atoms, vol. 9, no. 4, 106, MDPI, 2021, doi:10.3390/atoms9040106.
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| arXiv
2021 | Conference Paper | IST-REx-ID: 13147 |
Alimisis, Foivos, et al. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 196–206.
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2021 | Conference Paper | IST-REx-ID: 13146 |
Nguyen, Quynh, et al. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 8119–29.
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| arXiv
2021 | Conference Paper | IST-REx-ID: 10665 |
Henzinger, Thomas A., et al. “Scalable Verification of Quantized Neural Networks.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 5A, AAAI Press, 2021, pp. 3787–95.
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| arXiv
2021 | Conference Paper | IST-REx-ID: 10667 |
Lechner, Mathias, et al. “Infinite Time Horizon Safety of Bayesian Neural Networks.” 35th Conference on Neural Information Processing Systems, 2021, doi:10.48550/arXiv.2111.03165.
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| arXiv
2021 | Research Data Reference | IST-REx-ID: 13072 |
McCartney DL, Hillary RF, Conole EL, Trejo Banos D, Gadd DA, Walker RM, Nangle C, Flaig R, Campbell A, Murray AD, Munoz Maniega S, del C Valdes-Hernandez M, Harris MA, Bastin ME, Wardlaw JM, Harris SE, Porteous DJ, Tucker-Drob EM, McIntosh AM, Evans KL, Deary IJ, Cox SR, Robinson MR, Marioni RE. 2021. Blood-based epigenome-wide analyses of cognitive abilities, Zenodo, 10.5281/ZENODO.5794028.
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