Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

665 Publications


2021 | Conference Paper | IST-REx-ID: 10853 | OA
A. Fedorov, N. Koval, and D.-A. Alistarh, “A scalable concurrent algorithm for dynamic connectivity,” in Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures, Virtual, Online, 2021, pp. 208–220.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Preprint | IST-REx-ID: 10912 | OA
F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Quantifying the coexistence of neuronal oscillations and avalanches.” arXiv.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Journal Article | IST-REx-ID: 11053 | OA
G. S. Shadel et al., “The San Diego Nathan Shock Center: Tackling the heterogeneity of aging,” GeroScience, vol. 43, no. 5. Springer Nature, pp. 2139–2148, 2021.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 

2021 | Journal Article | IST-REx-ID: 11052
S. Krishna, R. Arrojo e Drigo, J. S. Capitanio, R. Ramachandra, M. Ellisman, and M. Hetzer, “Identification of long-lived proteins in the mitochondria reveals increased stability of the electron transport chain,” Developmental Cell, vol. 56, no. 21. Elsevier, p. P2952–2965.e9, 2021.
View | DOI | PubMed | Europe PMC
 

2021 | Conference Paper | IST-REx-ID: 11436 | OA
V. Kungurtsev, M. Egan, B. Chatterjee, and D.-A. Alistarh, “Asynchronous optimization methods for efficient training of deep neural networks with guarantees,” in 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual, Online, 2021, vol. 35, no. 9B, pp. 8209–8216.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 11453 | OA
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.
[Published Version] View | Download Published Version (ext.)
 

2021 | Conference Paper | IST-REx-ID: 11452 | OA
F. Alimisis, P. Davies, B. Vandereycken, and D.-A. Alistarh, “Distributed principal component analysis with limited communication,” in Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 4, pp. 2823–2834.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 11463 | OA
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.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 11464 | OA
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.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Journal Article | IST-REx-ID: 11498 | OA
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.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

Filters and Search Terms

year=2021

Search

Filter Publications