Dmitry Yarotsky

J. Mach. Learn. Res., 2024

SGD with memory: fundamental properties and stochastic acceleration.

[BibT_eX]

[DOI]

CoRR, 2024

Learning high-dimensional targets by two-parameter models and gradient flow.

[BibT_eX]

[DOI]

CoRR, 2024

Generalization error of spectral algorithms.

[BibT_eX]

[DOI]

Maxim Panov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Training FFT to Select Beams in Massive MIMO.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2023

Beamspace Selection in Multi-User Massive MIMO.

[BibT_eX]

[DOI]

IEEE Access, 2023

Structure of universal formulas.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.

[BibT_eX]

[DOI]

Denis Kuznedelev

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Embedded Ensembles: infinite width limit and operating regimes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Lower Performance Bound for Beamspace Channel Estimation in Massive MIMO.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2021

Machine Learning-Assisted PAPR Reduction in Massive MIMO.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2021

Efficient Performance Bound for Channel Estimation in Massive MIMO Receiver.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2021

Universal scaling laws in the gradient descent training of neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

Machine Learning-Assisted Channel Estimation in Massive MIMO Receiver.

[BibT_eX]

[DOI]

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Adaptive Channel Interpolation in High-Speed Massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Spatial Denoising for Sparse Channel Estimation in Coherent Massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Data-Driven Beams Selection for Beamspace Channel Estimation in Massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Explicit loss asymptotics in the gradient descent training of neural networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Elementary superexpressive activations.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Bayesian Approach to Channel Interpolation in Massive MIMO Receiver.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2020

Data-Aided LS Channel Estimation in Massive MIMO Turbo-Receiver.

[BibT_eX]

[DOI]

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

High Performance Interference Suppression in Multi-User Massive MIMO Detector.

[BibT_eX]

[DOI]

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

The phase diagram of approximation rates for deep neural networks.

[BibT_eX]

[DOI]

Anton Zhevnerchuk

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Low-loss connection of weight vectors: distribution-based approaches.

[BibT_eX]

[DOI]

Ivan Anokhin

Proceedings of the 37th International Conference on Machine Learning, 2020

Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Iterative Nonlinear Detection and Decoding in Multi-User Massive MIMO.

[BibT_eX]

[DOI]

Andrey Savinov

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

2018

Collective evolution of weights in wide neural networks.

[BibT_eX]

[DOI]

CoRR, 2018

Universal approximations of invariant maps by neural networks.

[BibT_eX]

[DOI]

CoRR, 2018

Smart Sorting in Massive MIMO Detection.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Wireless and Mobile Computing, 2018

Unused Beam Reservation for PAPR Reduction in Massive MIMO System.

[BibT_eX]

[DOI]

Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

Optimal approximation of continuous functions by very deep ReLU networks.

[BibT_eX]

[DOI]

Proceedings of the Conference On Learning Theory, 2018

2017

Error bounds for approximations with deep ReLU networks.

[BibT_eX]

[DOI]

Neural Networks, 2017

Quantified advantage of discontinuous weight selection in approximations with deep neural networks.

[BibT_eX]

[DOI]

CoRR, 2017

Geometric features for voxel-based surface recognition.

[BibT_eX]

[DOI]

CoRR, 2017

Railway Incident Ranking with Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

GTApprox: Surrogate modeling for industrial design.

[BibT_eX]

[DOI]

Adv. Eng. Softw., 2016

2013

Examples of inconsistency in optimization by expected improvement.

[BibT_eX]

[DOI]

J. Glob. Optim., 2013

Univariate interpolation by exponential functions and Gaussian RBFs for generic sets of nodes.

[BibT_eX]

[DOI]