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Dmitry Yarotsky
Dmitry Yarotsky
Skolkovo Institute of Science and Technology, Moscow
Verified email at skoltech.ru
Title
Cited by
Cited by
Year
Error bounds for approximations with deep ReLU networks
D Yarotsky
Neural Networks 94, 103-114, 2017
7582017
Optimal approximation of continuous functions by very deep ReLU networks
D Yarotsky
Conference on learning theory, 639-649, 2018
1682018
Universal approximations of invariant maps by neural networks
D Yarotsky
Constructive Approximation 55 (1), 407-474, 2022
1092022
The phase diagram of approximation rates for deep neural networks
D Yarotsky, A Zhevnerchuk
Advances in neural information processing systems 33, 13005-13015, 2020
652020
Gtapprox: Surrogate modeling for industrial design
M Belyaev, E Burnaev, E Kapushev, M Panov, P Prikhodko, D Vetrov, ...
Advances in Engineering Software 102, 29-39, 2016
572016
Ground states in relatively bounded quantum perturbations of classical lattice systems
DA Yarotsky
Communications in mathematical physics 261 (3), 799-819, 2006
462006
Dynamics of multi-tethered pyramidal satellite formation
D Alary, K Andreev, P Boyko, E Ivanova, D Pritykin, V Sidorenko, ...
Acta Astronautica 117, 222-230, 2015
202015
Uniqueness of the ground state in weak perturbations of non-interacting gapped quantum lattice systems
DA Yarotsky
Journal of statistical physics 118 (1), 119-144, 2005
182005
Perturbations of ground states in weakly interacting quantum spin systems
DA Yarotsky
Journal of Mathematical Physics 45 (6), 2134-2152, 2004
182004
Iterative nonlinear detection and decoding in multi-user massive MIMO
A Ivanov, A Savinov, D Yarotsky
2019 15th International Wireless Communications & Mobile Computing …, 2019
132019
Smart sorting in massive MIMO detection
A Ivanov, D Yarotsky, M Stoliarenko, A Frolov
2018 14th International Conference on Wireless and Mobile Computing …, 2018
132018
Examples of inconsistency in optimization by expected improvement
D Yarotsky
Journal of Global Optimization 56 (4), 1773-1790, 2013
132013
Elementary superexpressive activations
D Yarotsky
International Conference on Machine Learning, 11932-11940, 2021
112021
Theoretical performance bound of uplink channel estimation accuracy in massive MIMO
A Osinsky, A Ivanov, D Yarotsky
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
112020
Bayesian approach to channel interpolation in massive MIMO receiver
A Osinsky, A Ivanov, D Yarotsky
IEEE Communications Letters 24 (12), 2751-2755, 2020
102020
The phase diagram of approximation rates for deep neural networks. arXiv e-prints, page
D Yarotsky, A Zhevnerchuk
arXiv preprint arXiv:1906.09477, 2019
102019
Unused beam reservation for PAPR reduction in massive MIMO system
A Ivanov, A Volokhatyi, D Lakontsev, D Yarotsky
2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-5, 2018
102018
Quantified advantage of discontinuous weight selection in approximations with deep neural networks
D Yarotsky
arXiv preprint arXiv:1705.01365, 2017
102017
Univariate interpolation by exponential functions and Gaussian RBFs for generic sets of nodes
D Yarotsky
Journal of Approximation Theory 166, 163-175, 2013
62013
Quasi-particles in weak perturbations of non-interacting quantum lattice systems
DA Yarotsky
arXiv preprint math-ph/0411042, 2004
62004
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