I am a finishing Ph.D. candidate in Applied Math under prof. Ivan Oseledets and prof. Gonzalo Ferrer. My scientific interests are 3D computer vision, Control and Path Planning for Robotics, solvers for PDEs and PDE-constrained optimization. edit this page
TT-QI: Faster Value Iteration in Tensor Train Format for Stochastic Optimal Control
AI Boyko, IV Oseledets, G Ferrer
Computational Mathematics and Mathematical Physics 61 (5), 836–846 [Springer page] [pdf] [code]
TT-TSDF: Memory-Efficient TSDF with Low-Rank Tensor Train Decomposition
AI Boyko, MP Matrosov, IV Oseledets, D Tsetserukou, G Ferrer
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 [pdf] [code]
Globally optimal continuous control with a sparse reward using Tensor Train
AI Boyko, IV Oseledets, G Ferrer
5th International Conference on Matrix Methods in Mathematics, 2020 [poster.pdf]
Evolutionary structural optimization algorithm based on FFT-JVIE solver for inverse design of wave devices
IB Minin, EE Nuzhin, AI Boyko, MS Litsarev, IV Oseledets
Engineering and Telecommunication (EnT-MIPT), 2018, 146-150 [IEEE Xplore page]
Towards solving Lippmann-Schwinger integral equation in 2D with polylogarithmic complexity with Quantized Tensor Train decomposition
AI Boyko, IV Oseledets, NA Gippius
PIERS Proceedings, ISSN 1559-9450, 2017 [IEEE Xplore page] [code]