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9096 Publications
2021 | Conference Paper | IST-REx-ID: 10853 | 
Fedorov, A., Koval, N., & Alistarh, D.-A. (2021). A scalable concurrent algorithm for dynamic connectivity. In Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures (pp. 208–220). Virtual, Online: Association for Computing Machinery. https://doi.org/10.1145/3409964.3461810
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2021 | Preprint | IST-REx-ID: 10912 |
Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (n.d.). Quantifying the coexistence of neuronal oscillations and avalanches. arXiv. https://doi.org/10.48550/ARXIV.2108.06686
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2021 | Journal Article | IST-REx-ID: 11053 |
Shadel, G. S., Adams, P. D., Berggren, W. T., Diedrich, J. K., Diffenderfer, K. E., Gage, F. H., … Zambetti, S. (2021). The San Diego Nathan Shock Center: Tackling the heterogeneity of aging. GeroScience. Springer Nature. https://doi.org/10.1007/s11357-021-00426-x
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| PubMed | Europe PMC
2021 | Journal Article | IST-REx-ID: 11052
Krishna, S., Arrojo e Drigo, R., Capitanio, J. S., Ramachandra, R., Ellisman, M., & Hetzer, M. (2021). Identification of long-lived proteins in the mitochondria reveals increased stability of the electron transport chain. Developmental Cell. Elsevier. https://doi.org/10.1016/j.devcel.2021.10.008
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2021 | Conference Paper | IST-REx-ID: 11436 |
Kungurtsev, V., Egan, M., Chatterjee, B., & Alistarh, D.-A. (2021). Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Vol. 35, pp. 8209–8216). Virtual, Online: AAAI Press.
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2021 | Conference Paper | IST-REx-ID: 11453 |
Braun, L., & Vogels, T. P. (2021). Online learning of neural computations from sparse temporal feedback. In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems (Vol. 20, pp. 16437–16450). Virtual, Online: Neural Information Processing Systems Foundation.
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2021 | Conference Paper | IST-REx-ID: 11452 |
Alimisis, F., Davies, P., Vandereycken, B., & Alistarh, D.-A. (2021). Distributed principal component analysis with limited communication. In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems (Vol. 4, pp. 2823–2834). Virtual, Online: Neural Information Processing Systems Foundation.
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2021 | Conference Paper | IST-REx-ID: 11463 |
Frantar, E., Kurtic, E., & Alistarh, D.-A. (2021). M-FAC: Efficient matrix-free approximations of second-order information. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 14873–14886). Virtual, Online: Curran Associates.
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2021 | Conference Paper | IST-REx-ID: 11464 |
Alistarh, D.-A., & Korhonen, J. (2021). Towards tight communication lower bounds for distributed optimisation. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 7254–7266). Virtual, Online: Curran Associates.
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2021 | Journal Article | IST-REx-ID: 11498 |
Schmidt, K. B., Kerutt, J., Wisotzki, L., Urrutia, T., Feltre, A., Maseda, M. V., … Schaye, J. (2021). Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at 1.5 < z < 6.4. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202140876
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2021 | Journal Article | IST-REx-ID: 11500 |
Bacon R, Mary D, Garel T, Blaizot J, Maseda M, Schaye J, Wisotzki L, Conseil S, Brinchmann J, Leclercq F, Abril-Melgarejo V, Boogaard L, Bouché NF, Contini T, Feltre A, Guiderdoni B, Herenz C, Kollatschny W, Kusakabe H, Matthee JJ, Michel-Dansac L, Nanayakkara T, Richard J, Roth M, Schmidt KB, Steinmetz M, Tresse L, Urrutia T, Verhamme A, Weilbacher PM, Zabl J, Zoutendijk SL. 2021. The MUSE Extremely Deep Field: The cosmic web in emission at high redshift. Astronomy & Astrophysics. 647, A107.
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2021 | Journal Article | IST-REx-ID: 11512 |
Boogaard, L. A., Bouwens, R. J., Riechers, D., van der Werf, P., Bacon, R., Matthee, J. J., … Walter, F. (2021). Measuring the average molecular gas content of star-forming galaxies at z = 3–4. The Astrophysical Journal. IOP Publishing. https://doi.org/10.3847/1538-4357/ac01d7
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2021 | Journal Article | IST-REx-ID: 11523 |
Matthee, J. J., Sobral, D., Hayes, M., Pezzulli, G., Gronke, M., Schaerer, D., … Amorín, R. (2021). The X-SHOOTER Lyman α survey at z = 2 (XLS-z2) I: What makes a galaxy a Lyman α emitter? Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stab1304
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2021 | Journal Article | IST-REx-ID: 11525 |
Gallego, S. G., Cantalupo, S., Sarpas, S., Duboeuf, B., Lilly, S., Pezzulli, G., … Mauerhofer, V. (2021). Constraining the cosmic UV background at z > 3 with MUSE Lyman-α emission observations. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stab796
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2021 | Journal Article | IST-REx-ID: 11522 |
Gronke, M., Ocvirk, P., Mason, C., Matthee, J. J., Bosman, S. E. I., Sorce, J. G., … Yepes, G. (2021). Lyman-α transmission properties of the intergalactic medium in the CoDaII simulation. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stab2762
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2021 | Journal Article | IST-REx-ID: 11526 |
Mackenzie, R., Pezzulli, G., Cantalupo, S., Marino, R. A., Lilly, S., Muzahid, S., … Wisotzki, L. (2021). Revealing the impact of quasar luminosity on giant Lyα nebulae. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/staa3277
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2021 | Journal Article | IST-REx-ID: 11524 |
Santos, S., Sobral, D., Butterworth, J., Paulino-Afonso, A., Ribeiro, B., da Cunha, E., … Arrabal Haro, P. (2021). The evolution of the UV luminosity and stellar mass functions of Lyman-α emitters from z ∼ 2 to z ∼ 6. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stab1218
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2021 | Journal Article | IST-REx-ID: 11585 |
Matthee, J. J. (2021). Differences in galaxy colours are not just about the mass. Nature Astronomy. Springer Nature. https://doi.org/10.1038/s41550-021-01415-y
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2021 | Journal Article | IST-REx-ID: 11604 |
Audenaert, J., Kuszlewicz, J. S., Handberg, R., Tkachenko, A., Armstrong, D. J., Hon, M., … Aerts, C. (2021). TESS Data for Asteroseismology (T’DA) stellar variability classification pipeline: Setup and application to the Kepler Q9 data. The Astronomical Journal. IOP Publishing. https://doi.org/10.3847/1538-3881/ac166a
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2021 | Journal Article | IST-REx-ID: 11608 |
Breton, S. N., Santos, A. R. G., Bugnet, L. A., Mathur, S., García, R. A., & Pallé, P. L. (2021). ROOSTER: A machine-learning analysis tool for Kepler stellar rotation periods. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202039947
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