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A Novel Attack on Machine-Learning Resistant Physical Unclonable Functions., , и . HOST, стр. 25-28. IEEE, (2022)Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing., , , , , , и . Neural Networks, (2024)The effect of network topology on the stability of discrete state models of genetic control, , , и . Proceedings of the National Academy of Sciences, 106 (20): 8209--8214 (19.05.2009)Developing a Stochastic Dynamic Programming Framework for Optical Tweezer-Based Automated Particle Transport Operations., , , и . IEEE Trans Autom. Sci. Eng., 7 (2): 218-227 (2010)Hybrid Boolean Networks as Physically Unclonable Functions., , , и . IEEE Access, (2021)Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems., , , , , , , и . CoRR, (2020)Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers., , и . CoRR, (2019)Transient Response of Hybrid Boolean Networks as Physical Unclonable Functions., , , и . CoRR, (2019)A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data., , и . CoRR, (2021)Model-Free Control of Dynamical Systems with Deep Reservoir Computing., , и . CoRR, (2020)