Dmitry Kropotov

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Study on precoding optimization algorithms in massive MIMO system with multi-antenna users.

Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev

Optim. Methods Softw., 2024

2023

MARS: Masked Automatic Ranks Selection in Tensor Decompositions.

Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov

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.

Nikita Lomov, Dmitry Kropotov, Danila Stepochkin, Anton Laptev

Proceedings of the Analysis of Images, Social Networks and Texts, 2023

2022

Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm.

Evgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev

IEEE Commun. Lett., 2022

2021

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

Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry P. Vetrov, Dmitry Kropotov

CoRR, 2021

Finding Better Precoding in Massive MIMO using Optimization Approach.

Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev

CoRR, 2021

Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning.

Evgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev

CoRR, 2021

2020

A Randomized Coordinate Descent Method with Volume Sampling.

Anton Rodomanov, Dmitry Kropotov

SIAM J. Optim., 2020

2019

Hamiltonian Monte-Carlo for Orthogonal Matrices.

Viktor Yanush, Dmitry Kropotov

CoRR, 2019

2018

Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition.

Pavel Izmailov, Alexander Novikov, Dmitry Kropotov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Faster variational inducing input Gaussian process classification.

Pavel Izmailov, Dmitry Kropotov

CoRR, 2016

A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums.

Anton Rodomanov, Dmitry Kropotov

Proceedings of the 33nd International Conference on Machine Learning, 2016

2010

Variational Relevance Vector Machine for Tabular Data.

Dmitry Kropotov, Dmitry P. Vetrov, Lior Wolf, Tal Hassner

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.

Anton Osokin, Dmitry P. Vetrov, Alexey Lebedev, Vladimir Galatenko, Dmitry Kropotov, Konstantin V. Anokhin

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.

Anton Osokin, Dmitry P. Vetrov, Dmitry Kropotov

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2007

Fuzzy Rules Generation Method for Pattern Recognition Problems.

Dmitry Kropotov, Dmitry P. Vetrov

Proceedings of the Applications of Fuzzy Sets Theory, 2007

On one method of non-diagonal regularization in sparse Bayesian learning.

Dmitry Kropotov, Dmitry P. Vetrov

Proceedings of the Machine Learning, 2007

2006

On Kernel Selection in Relevance Vector Machines Using Stability Principle.

Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dmitry P. Vetrov

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

The Use of Stability Principle for Kernel Determination in Relevance Vector Machines.

Dmitry Kropotov, Dmitry P. Vetrov, Nikita Ptashko, Oleg Vasiliev

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005

The Use of Bayesian Framework for Kernel Selection in Vector Machines Classifiers.

Dmitry Kropotov, Nikita Ptashko, Dmitry P. Vetrov

Proceedings of the Progress in Pattern Recognition, 2005

2004

An Algorithm for Rule Generation in Fuzzy Expert Systems.

Dmitry Kropotov, Dmitry P. Vetrov

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms.

Dmitry P. Vetrov, Dmitry Kropotov

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003

One Approach to Fuzzy Expert Systems Construction.

Dmitry Kropotov, Dmitry P. Vetrov

Proceedings of the ICEIS 2003, 2003