Dmitry Yarotsky

54 papers A* 10A 1B 2C 1Misc 1Journal 32Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions. CoRR Dmitry Yarotsky, Eugene A. Golikov, Yaroslav Gusev
2025	J	`jnl`	Corner Gradient Descent. CoRR Dmitry Yarotsky
2025	A*	`conf`	SGD with memory: fundamental properties and stochastic acceleration. ICLR Dmitry Yarotsky, Maksim Velikanov
2024	A*	`conf`	Generalization error of spectral algorithms. ICLR Maksim Velikanov, Maxim Panov, Dmitry Yarotsky
2024	J	`jnl`	Generalization error of spectral algorithms. CoRR Maksim Velikanov, Maxim Panov, Dmitry Yarotsky
2024	A*	`conf`	Learnability of high-dimensional targets by two-parameter models and gradient flow. NeurIPS Dmitry Yarotsky
2024	J	`jnl`	Learning high-dimensional targets by two-parameter models and gradient flow. CoRR Dmitry Yarotsky
2024	J	`jnl`	SGD with memory: fundamental properties and stochastic acceleration. CoRR Dmitry Yarotsky, Maksim Velikanov
2024	J	`jnl`	Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions. J. Mach. Learn. Res. Maksim Velikanov, Dmitry Yarotsky
2023	A*	`conf`	A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. ICLR Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky
2023	J	`jnl`	Beamspace Selection in Multi-User Massive MIMO. IEEE Access Vladislav Molodtsov, Roman Bychkov, Alexander Osinsky, Dmitry Yarotsky, Andrey Ivanov
2023	A*	`conf`	Structure of universal formulas. NeurIPS Dmitry Yarotsky
2023	J	`jnl`	Structure of universal formulas. CoRR Dmitry Yarotsky
2023	J	`jnl`	Training FFT to Select Beams in Massive MIMO. IEEE Wirel. Commun. Lett. Vladislav Molodtsov, Roman Bychkov, Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
2022	J	`jnl`	A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. CoRR Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky
2022	J	`jnl`	Embedded Ensembles: Infinite Width Limit and Operating Regimes. CoRR Maksim Velikanov, Roman Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky
2022	A	`conf`	Embedded Ensembles: infinite width limit and operating regimes. AISTATS Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky
2022	J	`jnl`	Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions. CoRR Maksim Velikanov, Dmitry Yarotsky
2021	—	`conf`	Adaptive Channel Interpolation in High-Speed Massive MIMO. VTC Spring Alexander Osinsky, Roman Bychkov, Andrey Ivanov, Dmitry Yarotsky
2021	—	`conf`	Data-Driven Beams Selection for Beamspace Channel Estimation in Massive MIMO. VTC Spring Roman Bychkov, Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
2021	J	`jnl`	Efficient Performance Bound for Channel Estimation in Massive MIMO Receiver. IEEE Trans. Wirel. Commun. Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
2021	A*	`conf`	Elementary superexpressive activations. ICML Dmitry Yarotsky
2021	J	`jnl`	Elementary superexpressive activations. CoRR Dmitry Yarotsky
2021	A*	`conf`	Explicit loss asymptotics in the gradient descent training of neural networks. NeurIPS Maksim Velikanov, Dmitry Yarotsky
2021	J	`jnl`	Lower Performance Bound for Beamspace Channel Estimation in Massive MIMO. IEEE Wirel. Commun. Lett. Alexander Osinsky, Andrey Ivanov, Dmitry Lakontsev, Dmitry Yarotsky
2021	—	`conf`	Machine Learning-Assisted Channel Estimation in Massive MIMO Receiver. VTC Spring Dmitry Yarotsky, Andrey Ivanov, Roman Bychkov, Alexander Osinsky, Andrey Savinov, Mikhail Trefilov, Vladimir Lyashev
2021	J	`jnl`	Machine Learning-Assisted PAPR Reduction in Massive MIMO. IEEE Wirel. Commun. Lett. Aleksei Kalinov, Roman Bychkov, Andrey Ivanov, Alexander Osinsky, Dmitry Yarotsky
2021	—	`conf`	Spatial Denoising for Sparse Channel Estimation in Coherent Massive MIMO. VTC Fall Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
2021	J	`jnl`	Universal scaling laws in the gradient descent training of neural networks. CoRR Maksim Velikanov, Dmitry Yarotsky
2020	J	`jnl`	Bayesian Approach to Channel Interpolation in Massive MIMO Receiver. IEEE Commun. Lett. Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
2020	—	`conf`	Data-Aided LS Channel Estimation in Massive MIMO Turbo-Receiver. VTC Spring Alexander Osinsky, Andrey Ivanov, Dmitry Lakontsev, Roman Bychkov, Dmitry Yarotsky
2020	—	`conf`	High Performance Interference Suppression in Multi-User Massive MIMO Detector. VTC Spring Andrey Ivanov, Alexander Osinsky, Dmitry Lakontsev, Dmitry Yarotsky
2020	J	`jnl`	High Performance Interference Suppression in Multi-User Massive MIMO Detector. CoRR Andrey Ivanov, Alexander Osinsky, Dmitry Lakontsev, Dmitry Yarotsky
2020	A*	`conf`	Low-loss connection of weight vectors: distribution-based approaches. ICML Ivan Anokhin, Dmitry Yarotsky
2020	J	`jnl`	Low-loss connection of weight vectors: distribution-based approaches. CoRR Ivan Anokhin, Dmitry Yarotsky
2020	A*	`conf`	The phase diagram of approximation rates for deep neural networks. NeurIPS Dmitry Yarotsky, Anton Zhevnerchuk
2020	Misc	`conf`	Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO. ICASSP Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
2019	B	`conf`	Iterative Nonlinear Detection and Decoding in Multi-User Massive MIMO. IWCMC Andrey Ivanov, Andrey Savinov, Dmitry Yarotsky
2019	J	`jnl`	The phase diagram of approximation rates for deep neural networks. CoRR Dmitry Yarotsky, Anton Zhevnerchuk
2018	J	`jnl`	Collective evolution of weights in wide neural networks. CoRR Dmitry Yarotsky
2018	A*	`conf`	Optimal approximation of continuous functions by very deep ReLU networks. COLT Dmitry Yarotsky
2018	J	`jnl`	Optimal approximation of continuous functions by very deep ReLU networks. CoRR Dmitry Yarotsky
2018	B	`conf`	Smart Sorting in Massive MIMO Detection. WiMob Andrey Ivanov, Dmitry Yarotsky, Maria Stoliarenko, Alexey A. Frolov
2018	J	`jnl`	Universal approximations of invariant maps by neural networks. CoRR Dmitry Yarotsky
2018	—	`conf`	Unused Beam Reservation for PAPR Reduction in Massive MIMO System. VTC Spring Andrey Ivanov, Artyom Volokhatyi, Dmitry Lakontsev, Dmitry Yarotsky
2017	J	`jnl`	Error bounds for approximations with deep ReLU networks. Neural Networks Dmitry Yarotsky
2017	J	`jnl`	Geometric features for voxel-based surface recognition. CoRR Dmitry Yarotsky
2017	J	`jnl`	Quantified advantage of discontinuous weight selection in approximations with deep neural networks. CoRR Dmitry Yarotsky
2017	C	`conf`	Railway Incident Ranking with Machine Learning. ICMLA Evgeni Bikov, Pavel Boyko, Evgeny Sokolov, Dmitry Yarotsky
2016	J	`jnl`	Error bounds for approximations with deep ReLU networks. CoRR Dmitry Yarotsky
2016	J	`jnl`	GTApprox: Surrogate modeling for industrial design. Adv. Eng. Softw. Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
2016	J	`jnl`	GTApprox: surrogate modeling for industrial design. CoRR Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
2013	J	`jnl`	Examples of inconsistency in optimization by expected improvement. J. Glob. Optim. Dmitry Yarotsky
2013	J	`jnl`	Univariate interpolation by exponential functions and Gaussian RBFs for generic sets of nodes. J. Approx. Theory Dmitry Yarotsky