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Ivan Tyukin
Ivan Yu. Tyukin
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2020 – today
- 2024
- [j32]Dmitrii Lukashevich, Ivan Tyukin
, Nikolai V. Brilliantov:
Knowledge-informed neuro-integrators for aggregation kinetics. Commun. Nonlinear Sci. Numer. Simul. 131: 107870 (2024) - [j31]Ivan Yu. Tyukin
Coping with AI errors with provable guarantees. Inf. Sci. 678: 120856 (2024) - [j30]Oliver J. Sutton
How adversarial attacks can disrupt seemingly stable accurate classifiers. Neural Networks 180: 106711 (2024) - [j29]Uraz Cengiz Türker
Accelerating Finite State Machine-Based Testing Using Reinforcement Learning. IEEE Trans. Software Eng. 50(3): 574-597 (2024) - [c26]Ivan Yu. Tyukin, Tatiana Tyukina, Daniel 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. IJCNN 2024: 1-8 - [i36]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 abs/2402.00899 (2024) - [i35]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 abs/2403.15421 (2024) - [i34]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 abs/2406.12670 (2024) - 2023
- [j28]Mohammad Reza Mousavi
Trustworthy Autonomous Systems Through Verifiability. Computer 56(2): 40-47 (2023) - [j27]Shuihua Wang
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images. Entropy 25(3): 431 (2023) - [j26]Stefano De Sabbata, Andrea Ballatore
GeoAI in urban analytics. Int. J. Geogr. Inf. Sci. 37(12): 2455-2463 (2023) - [c25]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: 560-568 - [c24]Oliver J. Sutton
Relative Intrinsic Dimensionality Is Intrinsic to Learning. ICANN (1) 2023: 516-529 - [c23]Alexander Bastounis
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. ICANN (1) 2023: 530-541 - [c22]Ying Liu
Agile gesture recognition for capacitive sensing devices: adapting on-the-job. IJCNN 2023: 1-8 - [c21]Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. IJCNN 2023: 1-8 - [i33]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 abs/2305.07624 (2023) - [i32]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 abs/2309.03665 (2023) - [i31]Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. CoRR abs/2309.07072 (2023) - [i30]Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin:
Relative intrinsic dimensionality is intrinsic to learning. CoRR abs/2311.07579 (2023) - [i29]Dmitrii Lukashevich, Ivan Tyukin, Nikolai V. Brilliantov:
Knowledge-Informed Neuro-Integrators for Aggregation Kinetics. CoRR abs/2312.06857 (2023) - 2022
- [c20]Qinghua Zhou, Alexander N. Gorban
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. IJCNN 2022: 1-8 - [i28]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 abs/2203.16687 (2022) - [i27]Ivan Yu. Tyukin, Oliver J. Sutton, Alexander N. Gorban:
Learning from few examples with nonlinear feature maps. CoRR abs/2203.16935 (2022) - [i26]Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin:
Towards a mathematical understanding of learning from few examples with nonlinear feature maps. CoRR abs/2211.03607 (2022) - [i25]Shuihua Wang, Ahmed M. S. E. K. Abdelaty, Kelly Parke, Jayanth Ranjit Arnold, Gerry P. McCann
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images. CoRR abs/2212.13715 (2022) - 2021
- [j25]Alexander N. Gorban
High-Dimensional Separability for One- and Few-Shot Learning. Entropy 23(8): 1090 (2021) - [j24]Santos J. Núñez Jareño
Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery. Entropy 23(9): 1140 (2021) - [j23]Jonathan Bac
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation. Entropy 23(10): 1368 (2021) - [j22]Shuihua Wang, M. Emre Celebi, Yu-Dong Zhang
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects. Inf. Fusion 76: 376-421 (2021) - [j21]Ivan Yu. Tyukin
Blessing of dimensionality at the edge and geometry of few-shot learning. Inf. Sci. 564: 124-143 (2021) - [j20]Bogdan Grechuk
General stochastic separation theorems with optimal bounds. Neural Networks 138: 33-56 (2021) - [c19]Ivan Yu. Tyukin
Demystification of Few-shot and One-shot Learning. IJCNN 2021: 1-7 - [c18]Uraz Cengiz Türker, Robert M. Hierons
Efficient state synchronisation in model-based testing through reinforcement learning. ASE 2021: 368-380 - [i24]Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou:
Demystification of Few-shot and One-shot Learning. CoRR abs/2104.12174 (2021) - [i23]Ivan Yu. Tyukin, Desmond J. Higham, Eliyas Woldegeorgis, Alexander N. Gorban:
The Feasibility and Inevitability of Stealth Attacks. CoRR abs/2106.13997 (2021) - [i22]Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin:
High-dimensional separability for one- and few-shot learning. CoRR abs/2106.15416 (2021) - [i21]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 abs/2107.01401 (2021) - [i20]Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev:
Scikit-dimension: a Python package for intrinsic dimension estimation. CoRR abs/2109.02596 (2021) - 2020
- [j19]Alexander N. Gorban
How Deep Should be the Depth of Convolutional Neural Networks: a Backyard Dog Case Study. Cogn. Comput. 12(2): 388-397 (2020) - [j18]Alexander N. Gorban
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. Entropy 22(1): 82 (2020) - [c17]Rose Fenwick, Hartmut Boesch
Neural Networks for the Retrieval of Methane from the Sentinel-5 Precursor Satellite. IJCNN 2020: 1-8 - [c16]Ivan Yu. Tyukin
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. IJCNN 2020: 1-6 - [c15]Shui-Hua Wang, Gerry P. McCann
Myocardial Infarction Detection and Quantification Based on a Convolution Neural Network with Online Error Correction Capabilities. IJCNN 2020: 1-8 - [i19]Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin:
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. CoRR abs/2001.04959 (2020) - [i18]Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban:
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. CoRR abs/2004.04479 (2020) - [i17]Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin:
General stochastic separation theorems with optimal bounds. CoRR abs/2010.05241 (2020)
2010 – 2019
- 2019
- [j17]Alexander N. Gorban
One-trial correction of legacy AI systems and stochastic separation theorems. Inf. Sci. 484: 237-254 (2019) - [j16]Ivan Yu. Tyukin
Fast construction of correcting ensembles for legacy Artificial Intelligence systems: Algorithms and a case study. Inf. Sci. 485: 230-247 (2019) - [c14]Ivan Yu. Tyukin
Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. IJCNN 2019: 1-6 - [c13]Stephen Green
Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics. INNSBDDL 2019: 276-285 - [i16]Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin:
Symphony of high-dimensional brain. CoRR abs/1906.12222 (2019) - [i15]Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard:
Blessing of dimensionality at the edge. CoRR abs/1910.00445 (2019) - 2018
- [j15]Ponnuthurai N. Suganthan, Sushmita Mitra
Preface special issue on non-iterative approaches in learning. Appl. Soft Comput. 70: 947-950 (2018) - [j14]Ivan Tyukin
Knowledge Transfer Between Artificial Intelligence Systems. Frontiers Neurorobotics 12: 49 (2018) - [j13]Alexander N. Gorban
Correction of AI systems by linear discriminants: Probabilistic foundations. Inf. Sci. 466: 303-322 (2018) - [c12]Sepehr Meshkinfamfard
Tackling Rare False-Positives in Face Recognition: A Case Study. HPCC/SmartCity/DSS 2018: 1592-1598 - [c11]Ivan Yu. Tyukin
Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. IJCNN 2018: 1-8 - [i14]Alexander N. Gorban, Ivan Yu. Tyukin:
Blessing of dimensionality: mathematical foundations of the statistical physics of data. CoRR abs/1801.03421 (2018) - [i13]Alexander N. Gorban, Bogdan Grechuk, Ivan Yu. Tyukin:
Augmented Artificial Intelligence: a Conceptual Framework. CoRR abs/1802.02172 (2018) - [i12]Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin:
The unreasonable effectiveness of small neural ensembles in high-dimensional brain. CoRR abs/1809.07656 (2018) - [i11]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 abs/1810.05593 (2018) - [i10]Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Evgeny M. Mirkes, Ivan Yu. Tyukin:
Correction of AI systems by linear discriminants: Probabilistic foundations. CoRR abs/1811.05321 (2018) - 2017
- [j12]Alexander N. Gorban
Stochastic separation theorems. Neural Networks 94: 255-259 (2017) - [i9]Alexander N. Gorban, Ivan Yu. Tyukin:
Stochastic Separation Theorems. CoRR abs/1703.01203 (2017) - [i8]Ivan Yu. Tyukin, Alexander N. Gorban, Konstantin I. Sofeikov, Ilya V. Romanenko:
Knowledge Transfer Between Artificial Intelligence Systems. CoRR abs/1709.01547 (2017) - 2016
- [j11]Alexander N. Gorban
Approximation with random bases: Pro et Contra. Inf. Sci. 364-365: 129-145 (2016) - [i7]Alexander N. Gorban, Ivan Yu. Tyukin, Ilya V. Romanenko:
The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit. CoRR abs/1610.00494 (2016) - 2015
- [j10]Ilya Prokin, Ivan Tyukin
Phase Selective Oscillations in Two Noise Driven Synaptically Coupled Spiking Neurons. Int. J. Bifurc. Chaos 25(7): 1540005:1-1540005:11 (2015) - [i6]Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov:
Approximation with Random Bases: Pro et Contra. CoRR abs/1506.04631 (2015) - 2014
- [c10]Alexander N. Gorban
Further results on Lyapunov-like conditions of forward invariance and boundedness for a class of unstable systems. CDC 2014: 1557-1562 - [c9]Konstantin I. Sofeikov, Ilya V. Romanenko, Ivan Yu. Tyukin
Scene analysis assisting for AWB using binary decision trees and average image metrics. ICCE 2014: 480-483 - [c8]Konstantin I. Sofeikov, Ivan Tyukin
Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion. IJCNN 2014: 3548-3555 - [i5]Sergei Gepshtein, Ivan Tyukin:
Optimal measurement of visual motion across spatial and temporal scales. CoRR abs/1405.0545 (2014) - 2013
- [j9]Ivan Tyukin
Adaptive observers and parameter estimation for a class of systems nonlinear in the parameters. Autom. 49(8): 2409-2423 (2013) - [j8]Alexander N. Gorban
Lyapunov-like Conditions of Forward Invariance and Boundedness for a Class of Unstable Systems. SIAM J. Control. Optim. 51(3): 2306-2334 (2013) - [c7]Ivan Tyukin
Explicit reduced-order integral formulations of state and parameter estimation problems for a class of nonlinear systems. CDC 2013: 4284-4289 - 2010
- [j7]Ivan Tyukin
State and Parameter Estimation for Canonic Models of Neural oscillators. Int. J. Neural Syst. 20(3): 193-207 (2010) - [i4]Sergei Gepshtein, Ivan Tyukin, Thomas D. Albright:
Supplement: The uncertainty principle of measurement in vision. CoRR abs/1007.0210 (2010)
2000 – 2009
- 2009
- [j6]Ivan Tyukin
Invariant template matching in systems with spatiotemporal coding: A matter of instability. Neural Networks 22(4): 425-449 (2009) - [c6]Ivan Tyukin
Feasibility of random basis function approximators for modeling and control. CCA/ISIC 2009: 1391-1396 - [i3]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 abs/0903.2361 (2009) - [i2]Ivan Tyukin, Danil V. Prokhorov:
Feasibility of random basis function approximators for modeling and control. CoRR abs/0905.0677 (2009) - 2008
- [j5]Ivan Tyukin
Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof. Neural Comput. 20(10): 2564-2596 (2008) - [j4]Ivan Tyukin
Nonuniform Small-Gain Theorems for Systems with Unstable Invariant Sets. SIAM J. Control. Optim. 47(2): 849-882 (2008) - [c5]Ivan Tyukin
Non-uniform small-gain theorems for systems with unstable invariant sets. CDC 2008: 5080-5085 - 2007
- [j3]Ivan Tyukin
Adaptation and Parameter Estimation in Systems With Unstable Target Dynamics and Nonlinear Parametrization. IEEE Trans. Autom. Control. 52(9): 1543-1559 (2007) - [i1]Ivan Tyukin, Tatiana Tyukina, Cees van Leeuwen:
Invariant template matching in systems with spatiotemporal coding: a vote for instability. CoRR abs/cs/0702082 (2007) - 2005
- [c4]Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen:
A new method for adaptive brake control. ACC 2005: 2194-2199 - 2003
- [j2]Ivan Tyukin
Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach. Neural Comput. 15(10): 2419-2455 (2003) - [j1]Ivan Tyukin
Adaptive control with nonconvex parameterization. IEEE Trans. Autom. Control. 48(4): 554-567 (2003) - [c3]Ivan Tyukin, Danil V. Prokhorov
Finite form realizations of adaptive control algorithms. ECC 2003: 264-269 - 2002
- [c2]Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov, Valery A. Terekhov:
On a problem of time-varying learning rate influence on the adaptive system dynamics. CDC 2002: 4718-4721 - 2000
- [c1]Valeri A. Terekhov, Ivan Yu. Tyukin
Adaptive control on manifolds with RBF neural networks. CDC 2000: 3831-3836
Coauthor Index
[j31] [j30] [c26] [i36] [i34] [c25] [c24] [c23] [c22] [c21] [i33] [i32] [i31] [i30] [c20] [i28] [i27] [i26] [j25] [j23] [j21] [j20] [c19] [i24] [i23] [i22] [i20] [j19] [j18] [c16] [i19] [i18] [i17] [j17] [j16] [c14] [c13] [i16] [i15] [j14] [j13] [c12] [c11] [i14] [i13] [i12] [i11] [i10] [j12] [i9] [i8] [j11] [i7] [i6] [c10] [c9] [c8] [j8] [c7]
Eugenij Moiseevich Mirkes
aka: Evgeny M. Mirkes
aka: Evgeny M. Mirkes
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