no code implementations • 29 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.
1 code implementation • 18 Jun 2020 • Maxim Kodryan, Dmitry Kropotov, Dmitry Vetrov
Tensor decomposition methods have proven effective in various applications, including compression and acceleration of neural networks.
no code implementations • 23 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).
1 code implementation • 19 Oct 2017 • Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
We propose a method (TT-GP) for approximate inference in Gaussian Process (GP) models.
no code implementations • 18 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.