Dmitry Kropotov

Orcid: 0000-0002-0970-5184

According to our database1, Dmitry Kropotov authored at least 23 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Study on precoding optimization algorithms in massive MIMO system with multi-antenna users.
Optim. Methods Softw., 2024

2023
MARS: Masked Automatic Ranks Selection in Tensor Decompositions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Handwritten Text Recognition and Browsing in Archive of Prisoners' Letters from Smolensk Convict Prison.
Proceedings of the Analysis of Images, Social Networks and Texts, 2023

2022
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm.
IEEE Commun. Lett., 2022

2021
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems.
CoRR, 2021

Finding Better Precoding in Massive MIMO using Optimization Approach.
CoRR, 2021

Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning.
CoRR, 2021

2020
A Randomized Coordinate Descent Method with Volume Sampling.
SIAM J. Optim., 2020

2019
Hamiltonian Monte-Carlo for Orthogonal Matrices.
CoRR, 2019

2018
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016
Faster variational inducing input Gaussian process classification.
CoRR, 2016

A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2010
Variational Relevance Vector Machine for Tabular Data.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

2009
3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2007
Fuzzy Rules Generation Method for Pattern Recognition Problems.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

On one method of non-diagonal regularization in sparse Bayesian learning.
Proceedings of the Machine Learning, 2007

2006
On Kernel Selection in Relevance Vector Machines Using Stability Principle.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

The Use of Stability Principle for Kernel Determination in Relevance Vector Machines.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
The Use of Bayesian Framework for Kernel Selection in Vector Machines Classifiers.
Proceedings of the Progress in Pattern Recognition, 2005

2004
An Algorithm for Rule Generation in Fuzzy Expert Systems.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
One Approach to Fuzzy Expert Systems Construction.
Proceedings of the ICEIS 2003, 2003


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