Ivan Yu. Tyukin

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 47

Top Topics

Artificial Intelligence

Intrinsic Dimensionality

Top Venues

Publications

Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. CoRR (2024)
Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Yu. Tyukin
Stealth edits for provably fixing or attacking large language models. CoRR (2024)
Uraz Cengiz Türker, Robert M. Hierons, Khaled El-Fakih, Mohammad Reza Mousavi, Ivan Yu. Tyukin
Accelerating Finite State Machine-Based Testing Using Reinforcement Learning. IEEE Trans. Software Eng. 50 (3) (2024)
Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison
Coping with AI errors with provable guarantees. Inf. Sci. 678 (2024)
Ying Liu, Liucheng Guo, Valeri A. Makarov, Alexander Gorbana, Evgeny Mirkesa, Ivan Yu. Tyukin
Agile gesture recognition for low-power applications: customisation for generalisation. CoRR (2024)
Shuihua Wang, Ahmed M. S. E. K. Abdelaty, Kelly Parke, Jayanth Ranjit Arnold, Gerry P. McCann, Ivan Yu. Tyukin
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images. Entropy 25 (3) (2023)
Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin
Agile gesture recognition for capacitive sensing devices: adapting on-the-job. IJCNN (2023)
Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin
A Geometric View on the Role of Nonlinear Feature Maps in Few-Shot Learning. GSI (1) (2023)
Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. IJCNN (2023)
Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin
Relative intrinsic dimensionality is intrinsic to learning. CoRR (2023)
Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin
Agile gesture recognition for capacitive sensing devices: adapting on-the-job. CoRR (2023)
Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. CoRR (2023)
Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham
How adversarial attacks can disrupt seemingly stable accurate classifiers. CoRR (2023)
Shuihua Wang, Ahmed M. S. E. K. Abdelaty, Kelly Parke, J. Ranjit Arnold, Gerry P. McCann, Ivan Yu. Tyukin
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images. CoRR (2022)
Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. IJCNN (2022)
Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. CoRR (2022)
Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou
Demystification of Few-shot and One-shot Learning. CoRR (2021)
Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Yu. Tyukin, Penelope M. Allison
Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery. Entropy 23 (9) (2021)
Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Yu. Tyukin, Penelope M. Allison
Learning from scarce information: using synthetic data to classify Roman fine ware pottery. CoRR (2021)
Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin
High-dimensional separability for one- and few-shot learning. CoRR (2021)
Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin
High-Dimensional Separability for One- and Few-Shot Learning. Entropy 23 (8) (2021)
Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou
Demystification of Few-shot and One-shot Learning. IJCNN (2021)
Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard, Lixin Tang
Blessing of dimensionality at the edge and geometry of few-shot learning. Inf. Sci. 564 (2021)
Ivan Yu. Tyukin, Desmond J. Higham, Eliyas Woldegeorgis, Alexander N. Gorban
The Feasibility and Inevitability of Stealth Attacks. CoRR (2021)
Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin
General stochastic separation theorems with optimal bounds. Neural Networks 138 (2021)
Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin
How Deep Should be the Depth of Convolutional Neural Networks: a Backyard Dog Case Study. Cogn. Comput. 12 (2) (2020)
Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. IJCNN (2020)
Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. CoRR (2020)
Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. CoRR (2020)
Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. Entropy 22 (1) (2020)
Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin
General stochastic separation theorems with optimal bounds. CoRR (2020)
Alexander N. Gorban, Richard Burton, Ilya V. Romanenko, Ivan Yu. Tyukin
One-trial correction of legacy AI systems and stochastic separation theorems. Inf. Sci. 484 (2019)
Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov
Fast construction of correcting ensembles for legacy Artificial Intelligence systems: Algorithms and a case study. Inf. Sci. 485 (2019)
Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
Symphony of high-dimensional brain. CoRR (2019)
Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard
Blessing of dimensionality at the edge. CoRR (2019)
Ivan Yu. Tyukin, Alexander N. Gorban, Bogdan Grechuk, Stephen Green
Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. IJCNN (2019)
Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green
Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. IJCNN (2018)
Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Evgeny M. Mirkes, Ivan Yu. Tyukin
Correction of AI systems by linear discriminants: Probabilistic foundations. CoRR (2018)
Alexander N. Gorban, Ivan Yu. Tyukin
Blessing of dimensionality: mathematical foundations of the statistical physics of data. CoRR (2018)
Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
The unreasonable effectiveness of small neural ensembles in high-dimensional brain. CoRR (2018)
Alexander N. Gorban, Bogdan Grechuk, Ivan Yu. Tyukin
Augmented Artificial Intelligence: a Conceptual Framework. CoRR (2018)
Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study. CoRR (2018)
Alexander N. Gorban, Ivan Yu. Tyukin
Stochastic separation theorems. Neural Networks 94 (2017)
Alexander N. Gorban, Ivan Yu. Tyukin
Stochastic Separation Theorems. CoRR (2017)
Ivan Yu. Tyukin, Alexander N. Gorban, Konstantin I. Sofeikov, Ilya V. Romanenko
Knowledge Transfer Between Artificial Intelligence Systems. CoRR (2017)
Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov
Approximation with random bases: Pro et Contra. Inf. Sci. (2016)
Alexander N. Gorban, Ivan Yu. Tyukin, Ilya V. Romanenko
The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit. CoRR (2016)
Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov
Approximation with Random Bases: Pro et Contra. CoRR (2015)
Konstantin I. Sofeikov, Ilya V. Romanenko, Ivan Yu. Tyukin, Alexander N. Gorban
Scene analysis assisting for AWB using binary decision trees and average image metrics. ICCE (2014)
Alexander N. Gorban, Ivan Yu. Tyukin, Henk Nijmeijer
Further results on Lyapunov-like conditions of forward invariance and boundedness for a class of unstable systems. CDC (2014)
Ivan Yu. Tyukin, Erik Steur, Henk Nijmeijer, Cees van Leeuwen
Adaptive Observers and Parameter Estimation for a Class of Systems Nonlinear in the Parameters. CoRR (2009)
Valeri A. Terekhov, Ivan Yu. Tyukin, Danil V. Prokhorov
Adaptive control on manifolds with RBF neural networks. CDC (2000)