Dmitry Yarotsky

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 46

Top Topics

Industrial Design

Channel Estimation

Generalization Error

Top Venues

IEEE Wirel. Commun. Lett.

Publications

Maksim Velikanov, Maxim Panov, Dmitry Yarotsky
Generalization error of spectral algorithms. CoRR (2024)
Maksim Velikanov, Maxim Panov, Dmitry Yarotsky
Generalization error of spectral algorithms. ICLR (2024)
Dmitry Yarotsky
Learning high-dimensional targets by two-parameter models and gradient flow. CoRR (2024)
Dmitry Yarotsky
Structure of universal formulas. CoRR (2023)
Dmitry Yarotsky
Structure of universal formulas. NeurIPS (2023)
Vladislav Molodtsov, Roman Bychkov, Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
Training FFT to Select Beams in Massive MIMO. IEEE Wirel. Commun. Lett. 12 (6) (2023)
Vladislav Molodtsov, Roman Bychkov, Alexander Osinsky, Dmitry Yarotsky, Andrey Ivanov
Beamspace Selection in Multi-User Massive MIMO. IEEE Access 11 (2023)
Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. ICLR (2023)
Maksim Velikanov, Dmitry Yarotsky
Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions. CoRR (2022)
Maksim Velikanov, Roman Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky
Embedded Ensembles: Infinite Width Limit and Operating Regimes. CoRR (2022)
Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. CoRR (2022)
Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky
Embedded Ensembles: infinite width limit and operating regimes. AISTATS (2022)
Alexander Osinsky, Andrey Ivanov, Dmitry Lakontsev, Dmitry Yarotsky
Lower Performance Bound for Beamspace Channel Estimation in Massive MIMO. IEEE Wirel. Commun. Lett. 10 (2) (2021)
Maksim Velikanov, Dmitry Yarotsky
Explicit loss asymptotics in the gradient descent training of neural networks. NeurIPS (2021)
Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
Spatial Denoising for Sparse Channel Estimation in Coherent Massive MIMO. VTC Fall (2021)
Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
Efficient Performance Bound for Channel Estimation in Massive MIMO Receiver. IEEE Trans. Wirel. Commun. 20 (11) (2021)
Aleksei Kalinov, Roman Bychkov, Andrey Ivanov, Alexander Osinsky, Dmitry Yarotsky
Machine Learning-Assisted PAPR Reduction in Massive MIMO. IEEE Wirel. Commun. Lett. 10 (3) (2021)
Dmitry Yarotsky
Elementary superexpressive activations. CoRR (2021)
Maksim Velikanov, Dmitry Yarotsky
Universal scaling laws in the gradient descent training of neural networks. CoRR (2021)
Dmitry Yarotsky
Elementary superexpressive activations. ICML (2021)
Roman Bychkov, Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
Data-Driven Beams Selection for Beamspace Channel Estimation in Massive MIMO. VTC Spring (2021)
Alexander Osinsky, Roman Bychkov, Andrey Ivanov, Dmitry Yarotsky
Adaptive Channel Interpolation in High-Speed Massive MIMO. VTC Spring (2021)
Dmitry Yarotsky, Andrey Ivanov, Roman Bychkov, Alexander Osinsky, Andrey Savinov, Mikhail Trefilov, Vladimir Lyashev
Machine Learning-Assisted Channel Estimation in Massive MIMO Receiver. VTC Spring (2021)
Ivan Anokhin, Dmitry Yarotsky
Low-loss connection of weight vectors: distribution-based approaches. CoRR (2020)
Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
Bayesian Approach to Channel Interpolation in Massive MIMO Receiver. IEEE Commun. Lett. 24 (12) (2020)
Alexander Osinsky, Andrey Ivanov, Dmitry Lakontsev, Roman Bychkov, Dmitry Yarotsky
Data-Aided LS Channel Estimation in Massive MIMO Turbo-Receiver. VTC Spring (2020)
Dmitry Yarotsky, Anton Zhevnerchuk
The phase diagram of approximation rates for deep neural networks. NeurIPS (2020)
Andrey Ivanov, Alexander Osinsky, Dmitry Lakontsev, Dmitry Yarotsky
High Performance Interference Suppression in Multi-User Massive MIMO Detector. VTC Spring (2020)
Andrey Ivanov, Alexander Osinsky, Dmitry Lakontsev, Dmitry Yarotsky
High Performance Interference Suppression in Multi-User Massive MIMO Detector. CoRR (2020)
Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO. ICASSP (2020)
Ivan Anokhin, Dmitry Yarotsky
Low-loss connection of weight vectors: distribution-based approaches. ICML (2020)
Dmitry Yarotsky, Anton Zhevnerchuk
The phase diagram of approximation rates for deep neural networks. CoRR (2019)
Andrey Ivanov, Andrey Savinov, Dmitry Yarotsky
Iterative Nonlinear Detection and Decoding in Multi-User Massive MIMO. IWCMC (2019)
Dmitry Yarotsky
Universal approximations of invariant maps by neural networks. CoRR (2018)
Andrey Ivanov, Dmitry Yarotsky, Maria Stoliarenko, Alexey A. Frolov
Smart Sorting in Massive MIMO Detection. WiMob (2018)
Andrey Ivanov, Artyom Volokhatyi, Dmitry Lakontsev, Dmitry Yarotsky
Unused Beam Reservation for PAPR Reduction in Massive MIMO System. VTC Spring (2018)
Dmitry Yarotsky
Optimal approximation of continuous functions by very deep ReLU networks. COLT (2018)
Dmitry Yarotsky
Optimal approximation of continuous functions by very deep ReLU networks. CoRR (2018)
Dmitry Yarotsky
Collective evolution of weights in wide neural networks. CoRR (2018)
Dmitry Yarotsky
Error bounds for approximations with deep ReLU networks. Neural Networks 94 (2017)
Dmitry Yarotsky
Quantified advantage of discontinuous weight selection in approximations with deep neural networks. CoRR (2017)
Evgeni Bikov, Pavel Boyko, Evgeny Sokolov, Dmitry Yarotsky
Railway Incident Ranking with Machine Learning. ICMLA (2017)
Dmitry Yarotsky
Geometric features for voxel-based surface recognition. CoRR (2017)
Dmitry Yarotsky
Error bounds for approximations with deep ReLU networks. CoRR (2016)
Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
GTApprox: Surrogate modeling for industrial design. Adv. Eng. Softw. 102 (2016)
Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
GTApprox: surrogate modeling for industrial design. CoRR (2016)
Dmitry Yarotsky
Examples of inconsistency in optimization by expected improvement. J. Glob. Optim. 56 (4) (2013)
Dmitry Yarotsky
Univariate interpolation by exponential functions and Gaussian RBFs for generic sets of nodes. J. Approx. Theory 166 (2013)