Ivan Tyukin
Ivan Tyukin
Professor of Mathematical Data Science and Modelling, King’s College London
Verified email at - Homepage
Cited by
Cited by
Neural network control systems
VA Terekhov, DV Efimov, IY Tyukin
Higher School, Moscow, 2002
Adaptation in Nonlinear Dynamical Systems (Adaptatsiya v nelineinykh dinamicheskikh sistemakh)
IY Tyukin, VA Terekhov
M.: Izd-vo LKI, 2008
Modern applied control theory (Sovremennaya prikladnaya teoriya upravleniya)
АА Колесников, ЛН Рассудов, ВБ Яковлев, ВА Новиков, ГЕ Веселов, ...
Технологический институт Федерального государственного образовательного …, 2000
Blessing of dimensionality: mathematical foundations of the statistical physics of data
AN Gorban, IY Tyukin
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2018
Semi-passivity and synchronization of diffusively coupled neuronal oscillators
E Steur, I Tyukin, H Nijmeijer
Physica D: Nonlinear Phenomena 238 (21), 2119-2128, 2009
Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects
S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao, Q Zhou, MG Miguel, ...
Information Fusion 76, 376-421, 2021
Adaptive Control in Technical Sytems (Adaptivnoe Upravlenie v Tekhnicheskikh Systemakh)
VN Antonov, VA Terekhov, IY Tyukin
СПб.: Издательство С.-Петербургского университета, 2001
Approximation with random bases: Pro et contra
AN Gorban, IY Tyukin, DV Prokhorov, KI Sofeikov
Information Sciences 364, 129-145, 2016
Adaptive observers and parameter estimation for a class of systems nonlinear in the parameters
IY Tyukin, E Steur, H Nijmeijer, C Van Leeuwen
Automatica 49 (8), 2409-2423, 2013
Adaptation and Parameter Estimation in Systems with Unstable Target Dynamics and Nonlinear Parametrization
I Tyukin, D Prokhorov, C Van Leeuwen
IEEE Transactions on Automatic Control 52 (9), 1543-1559, 2007
Feasibility of random basis function approximators for modeling and control
IY Tyukin, DV Prokhorov
2009 IEEE Control Applications,(CCA) & Intelligent Control,(ISIC), 1391-1396, 2009
Correction of AI systems by linear discriminants: Probabilistic foundations
AN Gorban, A Golubkov, B Grechuk, EM Mirkes, IY Tyukin
Information Sciences 466, 303-322, 2018
Adaptive behavior with fixed weights in RNN: an overview
DV Prokhorov, LA Feldkarnp, IY Tyukin
Neural Networks, 2002. IJCNN'02. Proceedings of the 2002 International Joint …, 2002
Scikit-dimension: a python package for intrinsic dimension estimation
J Bac, EM Mirkes, AN Gorban, I Tyukin, A Zinovyev
Entropy 23 (10), 1368, 2021
The unreasonable effectiveness of small neural ensembles in high-dimensional brain
AN Gorban, VA Makarov, IY Tyukin
Physics of life reviews 31, 86-103, 2019
Stochastic Separation Theorems
AN Gorban, IY Tyukin
Neural Networks 94, 255-259, 2017
How deep should be the depth of convolutional neural networks: a backyard dog case study
AN Gorban, EM Mirkes, IY Tyukin
Cognitive Computation, 2019
Adaptive control with nonconvex parameterization
IY Tyukin, DV Prokhorov, VA Terekhov
IEEE transactions on automatic control 48 (4), 554-567, 2003
High-dimensional brain in a high-dimensional world: Blessing of dimensionality
AN Gorban, VA Makarov, IY Tyukin
Entropy 22 (1), 82, 2020
Adaptation in dynamical systems
I Tyukin
Cambridge University Press, 2011
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