Dmitry Kropotov

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 14

Top Topics

Gaussian Process

Top Venues

IEEE Commun. Lett.

Publications

Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev
Study on precoding optimization algorithms in massive MIMO system with multi-antenna users. Optim. Methods Softw. 39 (2) (2024)
Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov
MARS: Masked Automatic Ranks Selection in Tensor Decompositions. AISTATS (2023)
Nikita Lomov, Dmitry Kropotov, Danila Stepochkin, Anton Laptev
Handwritten Text Recognition and Browsing in Archive of Prisoners' Letters from Smolensk Convict Prison. AIST (2023)
Evgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm. IEEE Commun. Lett. 26 (4) (2022)
Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev
Finding Better Precoding in Massive MIMO using Optimization Approach. CoRR (2021)
Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry P. Vetrov, Dmitry Kropotov
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems. CoRR (2021)
Evgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning. CoRR (2021)
Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov
MARS: Masked Automatic Ranks Selection in Tensor Decompositions. CoRR (2020)
Anton Rodomanov, Dmitry Kropotov
A Randomized Coordinate Descent Method with Volume Sampling. SIAM J. Optim. 30 (3) (2020)
Viktor Yanush, Dmitry Kropotov
Hamiltonian Monte-Carlo for Orthogonal Matrices. CoRR (2019)
Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition. AISTATS (2018)
Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition. CoRR (2017)
Anton Rodomanov, Dmitry Kropotov
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums. ICML (2016)
Pavel Izmailov, Dmitry Kropotov
Faster variational inducing input Gaussian process classification. CoRR (2016)
Dmitry Kropotov, Dmitry P. Vetrov, Lior Wolf, Tal Hassner
Variational Relevance Vector Machine for Tabular Data. ACML (2010)
Anton Osokin, Dmitry P. Vetrov, Alexey Lebedev, Vladimir Galatenko, Dmitry Kropotov, Konstantin V. Anokhin
An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice. CIBB (2010)
Anton Osokin, Dmitry P. Vetrov, Dmitry Kropotov
3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas. CIBB (2009)
Dmitry Kropotov, Dmitry P. Vetrov
Fuzzy Rules Generation Method for Pattern Recognition Problems. WILF (2007)
Dmitry Kropotov, Dmitry P. Vetrov
On one method of non-diagonal regularization in sparse Bayesian learning. ICML (2007)
Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dmitry P. Vetrov
On Kernel Selection in Relevance Vector Machines Using Stability Principle. ICPR (4) (2006)
Dmitry Kropotov, Dmitry P. Vetrov, Nikita Ptashko, Oleg Vasiliev
The Use of Stability Principle for Kernel Determination in Relevance Vector Machines. ICONIP (1) (2006)
Dmitry Kropotov, Nikita Ptashko, Dmitry P. Vetrov
The Use of Bayesian Framework for Kernel Selection in Vector Machines Classifiers. CIARP (2005)
Dmitry Kropotov, Dmitry P. Vetrov
An Algorithm for Rule Generation in Fuzzy Expert Systems. ICPR (1) (2004)
Dmitry P. Vetrov, Dmitry Kropotov
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms. ICPR (1) (2004)
Dmitry Kropotov, Dmitry P. Vetrov
One Approach to Fuzzy Expert Systems Construction. ICEIS (2) (2003)