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692 Publications
2021 | Published | Conference Paper | IST-REx-ID: 11453 | 
L. Braun and T. P. Vogels, “Online learning of neural computations from sparse temporal feedback,” in Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 20, pp. 16437–16450.
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2021 | Published | Conference Paper | IST-REx-ID: 11458 |
A. Krumes, E. B. Iofinova, A. Vladu, and D.-A. Alistarh, “AC/DC: Alternating Compressed/DeCompressed training of deep neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 34, pp. 8557–8570.
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2021 | Published | Conference Paper | IST-REx-ID: 11463 |
E. Frantar, E. Kurtic, and D.-A. Alistarh, “M-FAC: Efficient matrix-free approximations of second-order information,” in 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 34, pp. 14873–14886.
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2021 | Published | Conference Paper | IST-REx-ID: 11464 |
D.-A. Alistarh and J. Korhonen, “Towards tight communication lower bounds for distributed optimisation,” in 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 34, pp. 7254–7266.
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2021 | Published | Journal Article | IST-REx-ID: 11498 |
K. B. Schmidt et al., “Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at 1.5 < z < 6.4,” Astronomy & Astrophysics, vol. 654. EDP Sciences, 2021.
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2021 | Published | 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 | Published | Journal Article | IST-REx-ID: 11512 |
L. A. Boogaard et al., “Measuring the average molecular gas content of star-forming galaxies at z = 3–4,” The Astrophysical Journal, vol. 916, no. 1. IOP Publishing, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 11522 |
M. Gronke et al., “Lyman-α transmission properties of the intergalactic medium in the CoDaII simulation,” Monthly Notices of the Royal Astronomical Society, vol. 508, no. 3. Oxford University Press, pp. 3697–3709, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 11524 |
S. Santos et al., “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, vol. 505, no. 1. Oxford University Press, pp. 1117–1134, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 11525 |
S. G. Gallego et al., “Constraining the cosmic UV background at z > 3 with MUSE Lyman-α emission observations,” Monthly Notices of the Royal Astronomical Society, vol. 504, no. 1. Oxford University Press, pp. 16–32, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 11526 |
R. Mackenzie et al., “Revealing the impact of quasar luminosity on giant Lyα nebulae,” Monthly Notices of the Royal Astronomical Society, vol. 502, no. 1. Oxford University Press, pp. 494–509, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 11604 |
J. Audenaert et al., “TESS Data for Asteroseismology (T’DA) stellar variability classification pipeline: Setup and application to the Kepler Q9 data,” The Astronomical Journal, vol. 162, no. 5. IOP Publishing, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 11608 |
S. N. Breton, A. R. G. Santos, L. A. Bugnet, S. Mathur, R. A. García, and P. L. Pallé, “ROOSTER: A machine-learning analysis tool for Kepler stellar rotation periods,” Astronomy & Astrophysics, vol. 647. EDP Sciences, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 11609 |
J. Park, V. Prat, S. Mathis, and L. A. Bugnet, “Horizontal shear instabilities in rotating stellar radiation zones: II. Effects of the full Coriolis acceleration,” Astronomy & Astrophysics, vol. 646. EDP Sciences, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 11649 |
M. H. Henzinger, A. Paz, and S. Schmid, “On the complexity of weight-dynamic network algorithms,” in IFIP Networking Conference, Espoo and Helsinki, Finland, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 11663 |
A. Bernstein, S. Forster, and M. H. Henzinger, “A deamortization approach for dynamic spanner and dynamic maximal matching,” ACM Transactions on Algorithms, vol. 17, no. 4. Association for Computing Machinery, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 11756 |
M. H. Henzinger and P. Peng, “Constant-time dynamic weight approximation for minimum spanning forest,” Information and Computation, vol. 281, no. 12. Elsevier, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 11771 |
M. H. Henzinger and X. Wu, “Upper and lower bounds for fully retroactive graph problems,” in 17th International Symposium on Algorithms and Data Structures, Virtual, 2021, vol. 12808, pp. 471–484.
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2021 | Published | Journal Article | IST-REx-ID: 11886 |
M. H. Henzinger, S. Krinninger, and D. Nanongkai, “A deterministic almost-tight distributed algorithm for approximating single-source shortest paths,” SIAM Journal on Computing, vol. 50, no. 3. Society for Industrial & Applied Mathematics, pp. STOC16-98-STOC16-137, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 11919 |
T. Bergamaschi, M. H. Henzinger, M. P. Gutenberg, V. V. Williams, and N. Wein, “New techniques and fine-grained hardness for dynamic near-additive spanners,” in 32nd Annual ACM-SIAM Symposium on Discrete Algorithms, Alexandria, VA, United States, 2021, pp. 1836–1855.
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