Search Results for author: Dmitry Kropotov

Found 5 papers, 2 papers with code

Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems

no code implementations29 Dec 2021 Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry Vetrov, Dmitry Kropotov

Channel decoding, channel detection, channel assessment, and resource management for wireless multiple-input multiple-output (MIMO) systems are all examples of problems where machine learning (ML) can be successfully applied.

BIG-bench Machine Learning Management

MARS: Masked Automatic Ranks Selection in Tensor Decompositions

1 code implementation18 Jun 2020 Maxim Kodryan, Dmitry Kropotov, Dmitry Vetrov

Tensor decomposition methods have proven effective in various applications, including compression and acceleration of neural networks.

Tensor Decomposition

Hamiltonian Monte-Carlo for Orthogonal Matrices

no code implementations23 Jan 2019 Viktor Yanush, Dmitry Kropotov

In \citet{byrne2013geodesic} authors have already considered sampling from distributions over manifolds using exact geodesic flows in a scheme similar to Hamiltonian Monte Carlo (HMC).

Riemannian optimization

Faster variational inducing input Gaussian process classification

no code implementations18 Nov 2016 Pavel Izmailov, Dmitry Kropotov

However, the new lower bound depends on $O(m^2)$ variational parameter, which makes optimization challenging in case of big m. In this work we develop a new approach for training inducing input GP models for classification problems.

Classification Dimensionality Reduction +4

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