Canonical block-oriented model. - Andrew Polar; Michael Poluektov (CoRR, 2019)

Urysohn operators as adaptive filters. - Andrew Polar; Michael Poluektov (CoRR, 2020)

Modelling non-linear control systems using the discrete Urysohn operator. - Michael Poluektov; Andrew Polar (J. Frankl. Inst., 2020)

Urysohn Forest for Aleatoric Uncertainty Quantification. - Andrew Polar; Michael Poluektov (CoRR, 2021)

A deep machine learning algorithm for construction of the Kolmogorov-Arnold representation. - Andrew Polar; Michael Poluektov (Eng. Appl. Artif. Intell., 2021)

A new iterative method for construction of the Kolmogorov-Arnold representation. - Michael Poluektov; Andrew Polar (CoRR, 2023)

Construction of the Kolmogorov-Arnold networks using the Newton-Kaczmarz method. - Michael Poluektov; Andrew Polar (Mach. Learn., 2025)