Prof. Dmitry Kropotov

Data Science and Software Technology
School of Computer Science & Engineering
Phone number
Email Address
Res. I , 102 B
Selected Publications

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

A superlinearly-convergent proximal Newton-type method for the optimization of finite sums

A Rodomanov, D Kropotov

International Conference on Machine Learning, 2597-2605

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

A randomized coordinate descent method with volume sampling

A Rodomanov, D Kropotov

SIAM Journal on Optimization 30 (3), 1878-1904

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

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

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

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 …

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 …

Mars: Masked automatic ranks selection in tensor decompositions

M Kodryan, D Kropotov, D Vetrov

International Conference on Artificial Intelligence and Statistics, 3718-3732

Variational segmentation algorithms with label frequency constraints

D Kropotov, D Laptev, A Osokin, D Vetrov

Pattern Recognition and Image Analysis 20, 324-334

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

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

Optimal Bayesian classifier with arbitrary gaussian regularizer

D Kropotov, D Vetrov

Proc. of 7th Open German-Russian Workshop on Pattern Recognition and Image …

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 …

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 …

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 …

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

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 …

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