Dmitry Kropotov
Dmitry Kropotov
Constructor University
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Scalable gaussian processes with billions of inducing inputs via tensor train decomposition
P Izmailov, A Novikov, D Kropotov
International Conference on Artificial Intelligence and Statistics, 726-735, 2018
A superlinearly-convergent proximal Newton-type method for the optimization of finite sums
A Rodomanov, D Kropotov
International Conference on Machine Learning, 2597-2605, 2016
Massive MIMO adaptive modulation and coding using online deep learning algorithm
E Bobrov, D Kropotov, H Lu, D Zaev
IEEE Communications Letters 26 (4), 818-822, 2021
A randomized coordinate descent method with volume sampling
A Rodomanov, D Kropotov
SIAM Journal on Optimization 30 (3), 1878-1904, 2020
On one method of non-diagonal regularization in sparse Bayesian learning
D Kropotov, D Vetrov
Proceedings of the 24th international conference on Machine learning, 457-464, 2007
Automatic Determination of the Number of Components in the EM Algorithm of Restoration of a Mixture of Normal Distributions
DP Vetrov, DA Kropotov, AA Osokin
Computational Mathematics and Mathematical Physics 50, 733-746, 2010
Knowledge representation and acquisition in expert systems for pattern recognition
OM Vasil’ev, DP Vetrov, DA Kropotov
Computational mathematics and mathematical physics 47, 1373-1397, 2007
Mars: Masked automatic ranks selection in tensor decompositions
M Kodryan, D Kropotov, D Vetrov
International Conference on Artificial Intelligence and Statistics, 3718-3732, 2023
3-D mouse brain model reconstruction from a sequence of 2-D slices in application to Allen brain atlas
A Osokin, D Vetrov, D Kropotov
Computational Intelligence Methods for Bioinformatics and Biostatistics: 6th …, 2010
The Methods of Dependencies Description with the Help of Optimal Multistage Partitioning
OV Senko, AV Kuznetsova, DA Kropotov
Proceedings of the 18th International Workshop on Statistical Modelling …, 2003
Variational segmentation algorithms with label frequency constraints
D Kropotov, D Laptev, A Osokin, D Vetrov
Pattern Recognition and Image Analysis 20, 324-334, 2010
Variational relevance vector machine for tabular data
D Kropotov, D Vetrov, L Wolf, T Hassner
Proceedings of 2nd Asian Conference on Machine Learning, 79-94, 2010
Automatic determination of the numbers of components in the EM algorithm for the restoration of a mixture of normal distributions
DP Vetrov, DA Kropotov, AA Osokin
Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki 50 (4), 770-783, 2010
Optimal Bayesian classifier with arbitrary gaussian regularizer
D Kropotov, D Vetrov
Proc. of 7th Open German-Russian Workshop on Pattern Recognition and Image …, 2007
Algoritmy vybora modelei i postroeniya kollektivnykh reshenii v zadachakh klassifikatsii, osnovannye na printsipe ustoichivosti
DP Vetrov, DA Kropotov
Algorithms for Model Selection and Constructing Collective Solutions in …, 2006
The use of stability principle for kernel determination in relevance vector machines
D Kropotov, D Vetrov, N Ptashko, O Vasiliev
Neural Information Processing: 13th International Conference, ICONIP 2006 …, 2006
RECOGNITION: A Universal Software System for Recognition, Data Mining, and Forecasting
YI Zhuravlev, VV Ryazanov, OV Senko, AS Biryukov, DP Vetrov, ...
Pattern Recognition and Image Analysis (Advances in Mathematical Theory and …, 2005
The program system for intellectual data analysis, recognition and forecasting
YI Zhuravlev, VV Ryazanov, OV Senko, AS Biryukov, DP Vetrov, ...
WSEAS Transactions on Information Science and Applications 2 (1), 55-58, 2005
The use of bayesian framework for kernel selection in vector machines classifiers
D Kropotov, N Ptashko, D Vetrov
Progress in Pattern Recognition, Image Analysis and Applications: 10th …, 2005
Machine learning methods for spectral efficiency prediction in massive mimo systems
E Bobrov, S Troshin, N Chirkova, E Lobacheva, S Panchenko, D Vetrov, ...
arXiv preprint arXiv:2112.14423, 2021
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