IT
Ivan Tyukin
cs.LGcs.AImath.DSq-bio.NCstat.MLNeural Networks, Computercs.CVmath.OCModels, NeurologicalMachine Learning
On Valency
published · living versionsW_e4xsuqwc·v1 · currentpublished
Observers for canonic models of neural oscillators
with David Fairhurst, Henk Nijmeijer, Cees van Leeuwen
1 version
Preprints & journals
85 papers in the corpus · 2003–2026Orbit-based universal approximation via hypercyclicity on compact-open topology.42697019 · Mukhamedova, Farzona, Tyukin, Ivan, Mukhamedov, Farrukh2026 · 0 citationsNeural networks : the official journal of the International Neural Network Society. 2026;205(Pt C):109563
Fast social-like learning of complex behaviors based on motor motifs2402.02226v1 · Carlos Calvo Tapia, Ivan Y. Tyukin, Valeriy A. Makarov2024 · 12 citationsPhysical Review E 97(5) 052308, 2018
Approximation with Random Bases: Pro et Contra1506.04631v5 · Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov et al.2015 · 142 citationsInformation Sciences 364-365, 10 October 2016, Pages 129-145
Adaptive Observers and Parameter Estimation for a Class of Systems Nonlinear in the Parameters0903.2361v7 · Ivan Y. Tyukin, Erik Steur, Henk Nijmeijer et al.2009 · 100 citationsarXiv
When fractional quasi p-norms concentrate2505.19635v3 · Ivan Y. Tyukin, Bogdan Grechuk, Evgeny M. Mirkes et al.2025 · 0 citationsarXiv
Theoretical Advances on Stochastic Configuration Networks.40956721 · Yan, Xiufeng, Wang, Dianhui, Tyukin, Ivan Y2026 · 2 citationsIEEE transactions on neural networks and learning systems. 2026;37(1):467-481
The critical dimension of memory engrams and an optimal number of senses.40817378 · Otieno, Wendy, Tyukin, Ivan Y, Brilliantov, Nikolay2025 · 0 citationsScientific reports. 2025;15(1):29972
StepProof: Step-by-step verification of natural language mathematical proofs2506.10558v2 · Xiaolin Hu, Qinghua Zhou, Bogdan Grechuk et al.2025 · 0 citationsarXiv
EEG-to-fMRI Prediction for Neurofeedback: Evaluating Regularized Regression and Clustering Approaches10.1101/2025.05.20.654907v1 · De Feo, R., Antipushina, E., Tyukin, I. et al.2025 · 2 citationsbioRxiv
Situation-based memory in spiking neuron-astrocyte network2202.07218v1 · Susanna Gordleeva, Yuliya A. Tsybina, Mikhail I. Krivonosov et al.2022 · 20 citationsIEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 1, pp. 881-895, Jan. 2025
Machine learning analysis of the effects of COVID-19 on migration patterns.39616203 · Mukhamedova, Farzona, Tyukin, Ivan2024 · 1 citationScientific reports. 2024;14(1):29815
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning2309.07072v2 · Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen et al.2023 · 7 citationsarXiv
Stealth edits to large language models2406.12670v2 · Oliver J. Sutton, Qinghua Zhou, Wei Wang et al.2024 · 2 citationsarXiv
Physics-informed neural networks for aggregation kinetics2410.06050v2 · Farzona Mukhamedova, Ivan Tyukin, Nikolai Brilliantov2024 · 1 citationarXiv
How adversarial attacks can disrupt seemingly stable accurate classifiers2309.03665v2 · Oliver J. Sutton, Qinghua Zhou, Ivan Y. Tyukin et al.2023 · 12 citationsarXiv
Ghost Channels and Ghost Cycles Guiding Long Transients in Dynamical Systems.39121409 · Koch, D, Nandan, A, Ramesan, G et al.2024 · 32 citationsPhysical review letters. 2024;133(4):047202
Swirlonic state of active matter.33033334 · Brilliantov, Nikolai V, Abutuqayqah, Hajar, Tyukin, Ivan Yu et al.2024 · 9 citationsScientific reports. 2020;10(1):16783
Artificial intelligence for ventricular arrhythmia capability using ambulatory electrocardiograms.38774363 · Barker, Joseph, Li, Xin, Kotb, Ahmed et al.2024 · 16 citationsEuropean heart journal. Digital health. 2024;5(3):384-388
Agile gesture recognition for low-power applications: customisation for generalisation2403.15421v1 · Ying Liu, Liucheng Guo, Valeri A. Makarovc et al.2024 · 0 citationsarXiv
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees2402.00899v3 · Ivan Y. Tyukin, Tatiana Tyukina, Daniel van Helden et al.2024 · 0 citationsarXiv
Artificial intelligence for ventricular arrhythmia capability using ambulatory electrocardiograms10.1101/2023.12.18.23300017v1 · Barker, J., Li, X., Kotb, A. et al.2023 · 16 citationsmedRxiv
Knowledge-Informed Neuro-Integrators for Aggregation Kinetics2312.06857v1 · Dmitrii Lukashevich, Ivan Tyukin, Nikolay Brilliantov2023 · 1 citationarXiv
Demystification of Few-shot and One-shot Learning2104.12174v2 · Ivan Y. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi et al.2021 · 22 citationsIn2021 International Joint Conference on Neural Networks (IJCNN) 2021 Jul 18 (pp. 1-7). IEEE
The Feasibility and Inevitability of Stealth Attacks2106.13997v4 · Ivan Y. Tyukin, Desmond J. Higham, Alexander Bastounis et al.2021 · 17 citationsIMA Journal of Applied Mathematics, October 2023, hxad027
Scikit-dimension: a Python package for intrinsic dimension estimation2109.02596v1 · Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban et al.2021 · 98 citationsEntropy, 2021, 23(10), 1368
Relative intrinsic dimensionality is intrinsic to learning2311.07579v1 · Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban et al.2023 · 2 citationsArtificial Neural Networks and Machine Learning ICANN 2023. Lecture Notes in Computer Science, vol 14254, pp 516-529. Springer, Cham
Agile gesture recognition for capacitive sensing devices: adapting on-the-job2305.07624v1 · Ying Liu, Liucheng Guo, Valeri A. Makarov et al.2023 · 5 citationsarXiv
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images2212.13715v1 · Shuihua Wang, Ahmed M.S.E.K Abdelaty, Kelly Parke et al.2022 · 8 citationsarXiv
Machine learning in sudden cardiac death risk prediction: a systematic review.36201237 · Barker, Joseph, Li, Xin, Khavandi, Sarah et al.2022 · 64 citationsEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology. 2022;24(11):1777-1787
Towards a mathematical understanding of learning from few examples with nonlinear feature maps2211.03607v1 · Oliver J. Sutton, Alexander N. Gorban, Ivan Y. Tyukin2022 · 3 citationsarXiv
Blessing of dimensionality at the edge1910.00445v2 · Ivan Y. Tyukin, Alexander N. Gorban, Alistair A. McEwan et al.2019 · 11 citationsInformation Sciences, 564, 124-143 (2021)
Knowledge Transfer Between Artificial Intelligence Systems1709.01547v2 · Ivan Y. Tyukin, Alexander N. Gorban, Konstantin Sofeikov et al.2017 · 41 citationsFront Neurorobot. 2018; 12: 49
High-dimensional brain. A tool for encoding and rapid learning of memories by single neurons1710.11227v2 · Ivan Y. Tyukin, Alexander N. Gorban, Carlos Calvo et al.2017 · 42 citationsBulletin of mathematical biology, 81(11), 4856-4888, 2019
The unreasonable effectiveness of small neural ensembles in high-dimensional brain1809.07656v2 · A.N. Gorban, V.A. Makarov, I.Y. Tyukin2018 · 69 citationsPhysics of Life Reviews Volume 29, July 2019, Pages 55-88
Simple model of complex dynamics of activity patterns in developing networks of neuronal cultures1812.09611v1 · I.Y. Tyukin, D. Iudin, F. Iudin et al.2018 · 7 citationsPLoS ONE 14(6): e0218304. 2019
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation2203.16687v1 · Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes et al.2022 · 4 citationsarXiv
Learning from few examples with nonlinear feature maps2203.16935v1 · Ivan Y. Tyukin, Oliver Sutton, Alexander N. Gorban2022 · 1 citationarXiv
High-dimensional separability for one- and few-shot learning2106.15416v2 · Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes et al.2021 · 24 citationsEntropy. 2021; 23(8):1090
Learning from scarce information: using synthetic data to classify Roman fine ware pottery2107.01401v1 · Santos J. N'unez Jareno, Daniel P. van Helden, Evgeny M. Mirkes et al.2021 · 8 citationsarXiv
General stochastic separation theorems with optimal bounds2010.05241v2 · Bogdan Grechuk, Alexander N. Gorban, Ivan Y. Tyukin2020 · 23 citationsNeural Networks, Volume 138, 2021, Pages 33-56
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems2004.04479v1 · Ivan Y. Tyukin, Desmond J. Higham, Alexander N. Gorban2020 · 41 citations2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020
Universal principles justify the existence of concept cells.32398873 · Calvo Tapia, Carlos, Tyukin, Ivan, Makarov, Valeri A2020 · 20 citationsScientific reports. 2020;10(1):7889
High--Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality2001.04959v1 · Alexander N. Gorban, Valery A. Makarov, Ivan Y. Tyukin2020 · 58 citationsEntropy 2020, 22(1), 82
How deep should be the depth of convolutional neural networks: a backyard dog case study1805.01516v3 · A.N. Gorban, E.M. Mirkes, I.Y. Tyukin2018 · 63 citationsarXiv
Universal principles justify the existence of concept cells1912.02040v1 · Carlos Calvo Tapia, Ivan Tyukin, Valeri A. Makarov2019 · 20 citationsarXiv
Self-organisation of small-world networks by adaptive rewiring in response to graph diffusion.29030608 · Jarman, Nicholas, Steur, Erik, Trengove, Chris et al.2019 · 40 citationsScientific reports. 2017;7(1):13158
Symphony of high-dimensional brain1906.12222v1 · Alexander N. Gorban, Valeri A. Makarov, Ivan Y. Tyukin2019 · 7 citationsPhysics of Life Reviews, 2019
Correction of AI systems by linear discriminants: Probabilistic foundations1811.05321v1 · A.N. Gorban, A. Golubkov, B. Grechuk et al.2018 · 75 citationsInformation Sciences 466 (2018), 303-322
One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems1610.00494v4 · Alexander N. Gorban, Ilya Romanenko, Richard Burton et al.2016 · 32 citationsInformation Sciences, 484, 237-254, 2019
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study1810.05593v2 · Ivan Y. Tyukin, Alexander N. Gorban, Stephen Green et al.2018 · 17 citationsInformation Sciences, 2019
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