Graph sparsification for derandomizing massively parallel computation with low space
A. Czumaj, P. Davies, M. Parter, ACM Transactions on Algorithms 17 (2021).
LibreCat: https://research-explorer.ista.ac.at/record/9541
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arXiv: 1912.05390

Anderson localization of composite particles
F. Suzuki, M. Lemeshko, W.H. Zurek, R.V. Krems, Physical Review Letters 127 (2021).
LibreCat: https://research-explorer.ista.ac.at/record/10134
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WoS: 000707495700001
arXiv: 2011.06279

Efficient load-balancing through distributed token dropping
S. Brandt, B. Keller, J. Rybicki, J. Suomela, J. Uitto, in:, Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2021, pp. 129–139.
LibreCat: https://research-explorer.ista.ac.at/record/9678
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arXiv: 2005.07761

Dynamic averaging load balancing on cycles
D.-A. Alistarh, G. Nadiradze, A. Sabour, Algorithmica (2021).
LibreCat: https://research-explorer.ista.ac.at/record/8286
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arXiv: 2003.09297

The polaron at strong coupling
D. Feliciangeli, The Polaron at Strong Coupling, Institute of Science and Technology Austria, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/9733
DOI: 10.15479/at:ista:9733

NUQSGD: Provably communication-efficient data-parallel SGD via nonuniform quantization
A. Ramezani-Kebrya, F. Faghri, I. Markov, V. Aksenov, D.-A. Alistarh, D.M. Roy, Journal of Machine Learning Research 22 (2021) 143.
LibreCat: https://research-explorer.ista.ac.at/record/9571
arXiv: 1908.06077

Glu- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells
Y.H. Takeo, S.A. Shuster, L. Jiang, M. Hu, D.J. Luginbuhl, T. Rülicke, X. Contreras, S. Hippenmeyer, M.J. Wagner, S. Ganguli, L. Luo, Neuron 109 (2021) 9–644..
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The effective mass problem for the Landau-Pekar equations
D. Feliciangeli, S.A.E. Rademacher, R. Seiringer, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/9791
arXiv: 2107.03720

Statistical analysis and optimality of neural systems
W.F. Mlynarski, M. Hledik, T.R. Sokolowski, G. Tkadik, Neuron 109 (2021) 1227–1241.e5.
LibreCat: https://research-explorer.ista.ac.at/record/7553
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Approximate message passing with spectral initialization for generalized linear models
M. Mondelli, R. Venkataramanan, in:, A. Banerjee, K. Fukumizu (Eds.), Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, ML Research Press, 2021, pp. 397–405.
LibreCat: https://research-explorer.ista.ac.at/record/10598
arXiv: 2010.03460