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Dmitry Kropotov
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2020 – today
- 2024
- [j3]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): 282-297 (2024) - 2023
- [c15]Nikita Lomov
Handwritten Text Recognition and Browsing in Archive of Prisoners' Letters from Smolensk Convict Prison. AIST 2023: 227-240 - [c14]Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov:
MARS: Masked Automatic Ranks Selection in Tensor Decompositions. AISTATS 2023: 3718-3732 - 2022
- [j2]Evgeny Bobrov
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm. IEEE Commun. Lett. 26(4): 818-822 (2022) - 2021
- [i7]Evgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev:
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning. CoRR abs/2105.12827 (2021) - [i6]Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev:
Finding Better Precoding in Massive MIMO using Optimization Approach. CoRR abs/2107.13440 (2021) - [i5]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 abs/2112.14423 (2021) - 2020
- [j1]Anton Rodomanov, Dmitry Kropotov
A Randomized Coordinate Descent Method with Volume Sampling. SIAM J. Optim. 30(3): 1878-1904 (2020) - [i4]Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov:
MARS: Masked Automatic Ranks Selection in Tensor Decompositions. CoRR abs/2006.10859 (2020)
2010 – 2019
- 2019
- [i3]Viktor Yanush, Dmitry Kropotov:
Hamiltonian Monte-Carlo for Orthogonal Matrices. CoRR abs/1901.08045 (2019) - 2018
- [c13]Pavel Izmailov, Alexander Novikov, Dmitry Kropotov:
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition. AISTATS 2018: 726-735 - 2017
- [i2]Pavel Izmailov, Alexander Novikov, Dmitry Kropotov:
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition. CoRR abs/1710.07324 (2017) - 2016
- [c12]Anton Rodomanov, Dmitry Kropotov:
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums. ICML 2016: 2597-2605 - [i1]Pavel Izmailov, Dmitry Kropotov:
Faster variational inducing input Gaussian process classification. CoRR abs/1611.06132 (2016) - 2010
- [c11]Anton Osokin
An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice. CIBB 2010: 86-97 - [c10]Dmitry Kropotov, Dmitry P. Vetrov, Lior Wolf, Tal Hassner:
Variational Relevance Vector Machine for Tabular Data. ACML 2010: 79-94
2000 – 2009
- 2009
- [c9]Anton Osokin
3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas. CIBB 2009: 291-303 - 2007
- [c8]Dmitry Kropotov, Dmitry P. Vetrov:
On one method of non-diagonal regularization in sparse Bayesian learning. ICML 2007: 457-464 - [c7]Dmitry Kropotov, Dmitry P. Vetrov:
Fuzzy Rules Generation Method for Pattern Recognition Problems. WILF 2007: 203-210 - 2006
- [c6]Dmitry Kropotov, Dmitry P. Vetrov, Nikita Ptashko, Oleg Vasiliev:
The Use of Stability Principle for Kernel Determination in Relevance Vector Machines. ICONIP (1) 2006: 727-736 - [c5]Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dmitry P. Vetrov:
On Kernel Selection in Relevance Vector Machines Using Stability Principle. ICPR (4) 2006: 233-236 - 2005
- [c4]Dmitry Kropotov, Nikita Ptashko, Dmitry P. Vetrov:
The Use of Bayesian Framework for Kernel Selection in Vector Machines Classifiers. CIARP 2005: 252-261 - 2004
- [c3]Dmitry P. Vetrov, Dmitry Kropotov:
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms. ICPR (1) 2004: 144-147 - [c2]Dmitry Kropotov, Dmitry P. Vetrov:
An Algorithm for Rule Generation in Fuzzy Expert Systems. ICPR (1) 2004: 212-215 - 2003
- [c1]Dmitry Kropotov, Dmitry P. Vetrov:
One Approach to Fuzzy Expert Systems Construction. ICEIS (2) 2003: 566-570
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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