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Yermek Kapushev
Yermek Kapushev
AIRI
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Titel
Zitiert von
Zitiert von
Jahr
Gtapprox: Surrogate modeling for industrial design
M Belyaev, E Burnaev, E Kapushev, M Panov, P Prikhodko, D Vetrov, ...
Advances in Engineering Software 102, 29-39, 2016
692016
Quadrature-based features for kernel approximation
M Munkhoeva, Y Kapushev, E Burnaev, I Oseledets
Advances in neural information processing systems 31, 2018
622018
Scaling transformer to 1m tokens and beyond with rmt
A Bulatov, Y Kuratov, Y Kapushev, MS Burtsev
arXiv preprint arXiv:2304.11062, 2023
582023
Gaussian process regression for structured data sets
M Belyaev, E Burnaev, Y Kapushev
Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015
362015
Computationally efficient algorithm for Gaussian Process regression in case of structured samples
M Belyaev, E Burnaev, Y Kapushev
Computational Mathematics and Mathematical Physics 56, 499-513, 2016
262016
Large-scale shape retrieval with sparse 3d convolutional neural networks
A Notchenko, Y Kapushev, E Burnaev
Analysis of Images, Social Networks and Texts: 6th International Conference …, 2018
242018
Building data fusion surrogate models for spacecraft aerodynamic problems with incomplete factorial design of experiments
M Belyaev, E Burnaev, E Kapushev, S Alestra, M Dormieux, A Cavailles, ...
Advanced Materials Research 1016, 405-412, 2014
182014
Exact inference for gaussian process regression in case of big data with the cartesian product structure
M Belyaev, E Burnaev, Y Kapushev
arXiv preprint arXiv:1403.6573, 2014
182014
Sparse 3d convolutional neural networks for large-scale shape retrieval
A Notchenko, E Kapushev, E Burnaev
arXiv preprint arXiv:1611.09159, 2016
92016
Tensor Completion via Gaussian Process--Based Initialization
Y Kapushev, I Oseledets, E Burnaev
SIAM Journal on Scientific Computing 42 (6), A3812-A3824, 2020
62020
Accurate fetal variant calling in the presence of maternal cell contamination
E Nabieva, SM Sharma, Y Kapushev, SK Garushyants, AV Fedotova, ...
European Journal of Human Genetics 28 (11), 1615-1623, 2020
52020
Beyond attention: Breaking the limits of transformer context length with recurrent memory
A Bulatov, Y Kuratov, Y Kapushev, M Burtsev
Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17700 …, 2024
32024
Random fourier features based slam
Y Kapushev, A Kishkun, G Ferrer, E Burnaev
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
32021
Вычислительно эффективный алгоритм построения регрессии на основе гауссовских процессов в случае структурированных выборок
МГ Беляев, ЕВ Бурнаев, ЕР Капушев
Журнал вычислительной математики и математической физики 56 (4), 507-522, 2016
32016
Denoising Score Matching via Random Fourier Features
O Tsymboi, Y Kapushev, E Burnaev, I Oseledets
IEEE Access 10, 34154-34169, 2022
12022
Denoising Score Matching with Random Fourier Features
T Olga, Y Kapushev, E Burnaev, I Oseledets
arXiv preprint arXiv:2101.05239, 2021
2021
Surrogate models for spacecraft aerodynamic problems
M Belyaev, E Burnaev, E Kapushev, S Alestra, M Dormieux, A Cavailles, ...
11th World Congress on Computational Mechanics, WCCM 2014, 5th European …, 2014
2014
Quadrature-based features for kernel approximation. Supplementary materials.
M Munkhoeva, Y Kapushev, E Burnaev, I Oseledets
Суррогатное моделирование и оптимизациÿ профилÿ крыла самолета на основе гауссовских процессов
Е Бурнаев, П Ерофеев, А Зайцев, Д Кононенко, Е Капушев
Variable fidelity surrogate models on structured data for spacecraft aerodynamic problems
M Belyaev, E Burnaev, E Kapushev, S Alestra
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