30 citations · 49 across the 3 of their papers we have counts for
6 papers
Denoising Score Matching with Random Fourier Features
Tsimboy Olga, Yermek Kapushev, Evgeny Burnaev +1
The density estimation is one of the core problems in statistics. Despite this, existing techniques like maximum likelihood estimation are computationally inefficient due to the in…
Random Fourier Features based SLAM
Yermek Kapushev, Anastasia Kishkun, Gonzalo Ferrer +1
This work is dedicated to simultaneous continuous-time trajectory estimation and mapping based on Gaussian Processes (GP). State-of-the-art GP-based models for Simultaneous Localiz…
Tensor Completion via Gaussian Process Based Initialization
Yermek Kapushev, Ivan Oseledets, Evgeny Burnaev
In this paper, we consider the tensor completion problem representing the solution in the tensor train (TT) format. It is assumed that tensor is high-dimensional, and tensor values…
Quadrature-based features for kernel approximation
Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev +1
We consider the problem of improving kernel approximation via randomized feature maps. These maps arise as Monte Carlo approximation to integral representations of kernel functions…
Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks
Alexandr Notchenko, Ermek Kapushev, Evgeny Burnaev
In this paper we present results of performance evaluation of S3DCNN - a Sparse 3D Convolutional Neural Network - on a large-scale 3D Shape benchmark ModelNet40, and measure how it…
Exact Inference for Gaussian Process Regression in case of Big Data with the Cartesian Product Structure
Mikhail Belyaev, Evgeny Burnaev, Yermek Kapushev
Approximation algorithms are widely used in many engineering problems. To obtain a data set for approximation a factorial design of experiments is often used. In such case the size…