Gaussian Process Regression for Structured Data Sets. - Mikhail Belyaev; Evgeny Burnaev; Yermek Kapushev (SLDS, 2015)

GTApprox: Surrogate modeling for industrial design. - Mikhail Belyaev; Evgeny Burnaev; Ermek Kapushev; Maxim Panov; Pavel V. Prikhodko; Dmitry P. Vetrov; Dmitry Yarotsky (Adv. Eng. Softw., 2016)

Sparse 3D Convolutional Neural Networks for Large-Scale Shape Retrieval. - Alexandr Notchenko; Ermek Kapushev; Evgeny Burnaev (CoRR, 2016)

Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks. - Alexandr Notchenko; Yermek Kapushev; Evgeny Burnaev (AIST, 2017)

Quadrature-based features for kernel approximation. - Marina Munkhoeva; Yermek Kapushev; Evgeny Burnaev; Ivan V. Oseledets (NeurIPS, 2018)

Tensor Completion via Gaussian Process-Based Initialization. - Yermek Kapushev; Ivan V. Oseledets; Evgeny Burnaev (SIAM J. Sci. Comput., 2020)

Random Fourier Features based SLAM. - Yermek Kapushev; Anastasia Kishkun; Gonzalo Ferrer 001; Evgeny Burnaev (IROS, 2021)

Denoising Score Matching with Random Fourier Features. - Tsimboy Olga; Yermek Kapushev; Evgeny Burnaev; Ivan V. Oseledets (CoRR, 2021)

Denoising Score Matching via Random Fourier Features. - Olga Tsymboi; Yermek Kapushev; Evgeny Burnaev; Ivan V. Oseledets (IEEE Access, 2022)

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory. - Aydar Bulatov; Yuri Kuratov; Yermek Kapushev; Mikhail Burtsev 001 (AAAI, 2024)