Dmitry Kropotov

26 papers A* 2A 2C 2Misc 2Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Study on precoding optimization algorithms in massive MIMO system with multi-antenna users.
Optim. Methods Softw.
Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev
2024 Misc conf
YOLO-HTR: Page-Level Recognition of Historical Handwritten Document Collections.
AIST
Nikita Lomov, Danila Stepochkin, Dmitry Kropotov
2023 Misc conf
Handwritten Text Recognition and Browsing in Archive of Prisoners' Letters from Smolensk Convict Prison.
AIST
Nikita Lomov, Dmitry Kropotov, Danila Stepochkin, Anton Laptev
2023 A conf
MARS: Masked Automatic Ranks Selection in Tensor Decompositions.
AISTATS
Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov
2022 J jnl
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm.
IEEE Commun. Lett.
Evgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev
2021 J jnl
Finding Better Precoding in Massive MIMO using Optimization Approach.
CoRR
Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev
2021 J jnl
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems.
CoRR
Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry P. Vetrov, Dmitry Kropotov
2021 J jnl
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning.
CoRR
Evgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev
2020 J jnl
A Randomized Coordinate Descent Method with Volume Sampling.
SIAM J. Optim.
Anton Rodomanov, Dmitry Kropotov
2020 J jnl
MARS: Masked Automatic Ranks Selection in Tensor Decompositions.
CoRR
Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov
2019 J jnl
Hamiltonian Monte-Carlo for Orthogonal Matrices.
CoRR
Viktor Yanush, Dmitry Kropotov
2018 A conf
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition.
AISTATS
Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
2017 J jnl
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition.
CoRR
Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
2016 A* conf
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums.
ICML
Anton Rodomanov, Dmitry Kropotov
2016 J jnl
Faster variational inducing input Gaussian process classification.
CoRR
Pavel Izmailov, Dmitry Kropotov
2010 — conf
An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice.
CIBB
Anton Osokin, Dmitry P. Vetrov, Alexey Lebedev, Vladimir Galatenko, Dmitry Kropotov, Konstantin V. Anokhin
2010 C conf
Variational Relevance Vector Machine for Tabular Data.
ACML
Dmitry Kropotov, Dmitry P. Vetrov, Lior Wolf, Tal Hassner
2009 — conf
3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas.
CIBB
Anton Osokin, Dmitry P. Vetrov, Dmitry Kropotov
2007 — conf
Fuzzy Rules Generation Method for Pattern Recognition Problems.
WILF
Dmitry Kropotov, Dmitry P. Vetrov
2007 A* conf
On one method of non-diagonal regularization in sparse Bayesian learning.
ICML
Dmitry Kropotov, Dmitry P. Vetrov
2006 — conf
On Kernel Selection in Relevance Vector Machines Using Stability Principle.
ICPR (4)
Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dmitry P. Vetrov
2006 — conf
The Use of Stability Principle for Kernel Determination in Relevance Vector Machines.
ICONIP (1)
Dmitry Kropotov, Dmitry P. Vetrov, Nikita Ptashko, Oleg Vasiliev
2005 C conf
The Use of Bayesian Framework for Kernel Selection in Vector Machines Classifiers.
CIARP
Dmitry Kropotov, Nikita Ptashko, Dmitry P. Vetrov
2004 — conf
An Algorithm for Rule Generation in Fuzzy Expert Systems.
ICPR (1)
Dmitry Kropotov, Dmitry P. Vetrov
2004 — conf
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms.
ICPR (1)
Dmitry P. Vetrov, Dmitry Kropotov
2003 — conf
One Approach to Fuzzy Expert Systems Construction.
ICEIS (2)
Dmitry Kropotov, Dmitry P. Vetrov