Mikhail Itskov

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 8

Top Topics

Symbolic Regression

Gene Expression Programming

Top Venues

J. Comput. Phys.

Appl. Math. Comput.

Publications

Rasul Abdusalamov, Jendrik Weise, Mikhail Itskov
Rediscovering the Mullins Effect With Deep Symbolic Regression. CoRR (2024)
Abhishek Setty, Rasul Abdusalamov, Mikhail Itskov
Physics-Informed Quantum Machine Learning for Solving Partial Differential Equations. CoRR (2023)
Rasul Abdusalamov, Julius Kaplunov, Mikhail Itskov
Discovering Asymptotic Expansions Using Symbolic Regression. CoRR (2023)
Rasul Abdusalamov, Markus Hillgärtner, Mikhail Itskov
Automatic generation of interpretable hyperelastic material models by symbolic regression. CoRR (2022)
Thang Xuan Duong, Mikhail Itskov, Roger Andrew Sauer
A general isogeometric finite element formulation for rotation-free shells with embedded fibers and in-plane bending. CoRR (2021)
Thang Xuan Duong, Vu Ngoc Khiêm, Mikhail Itskov, Roger Andrew Sauer
A general theory for anisotropic Kirchhoff-Love shells with embedded fibers and in-plane bending. CoRR (2021)
Kevin Linka, Markus Hillgärtner, Kian P. Abdolazizi, Roland C. Aydin, Mikhail Itskov, Christian J. Cyron
Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning. J. Comput. Phys. 429 (2021)
Hilbeth P. Azikri de Deus, Thales A. Barbosa Pinto Silva, Mikhail Itskov
An analysis on the shear modulus of the modified Jeffreys model. Appl. Math. Comput. 346 (2019)
Roozbeh Dargazany, Karl Hörnes, Mikhail Itskov
A simple algorithm for the fast calculation of higher order derivatives of the inverse function. Appl. Math. Comput. 221 (2013)