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Global minimum depth in edwards-anderson model

Karandashev I., Kryzhanovsky B.

Spectral Characteristics of a Finite 2D Ising Model

Karandashev I.M., Kryzhanovsky B.V., Malsagov M.Y.

Global minimum depth in edwards-anderson model

Karandashev I., Kryzhanovsky B.

Machine learning methods for modeling the kinetics of combustion in problems of space safety

Malsagov M.Y., Mikhalchenko E.V., Karandashev I.M., Stamov L.I.

Dependence of critical temperature on dispersion of connections in 2d grid

Kryzhanovsky B.V., Karandashev I.M., Malsagov M.Y.

Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Network. Part II: Correlation Maximization

Pushkareva M.M., Karandashev I.M.

Using Machine Learning Methods to Predict the Magnitude and the Direction of Mask Fragments Displacement in Optical Proximity Correction (OPC)

Tryasoguzov P.E., Kuzovkov A.V., Karandashev I.M., Teplov G.S.

Routing Congestion Prediction in VLSI Design Using Graph Neural Networks

Saibodalov M., Karandashev I., Sokhova Z., Kocheva E., Zheludkov N.

INVESTIGATION OF THE EFFICIENCYOF USING U-Net AND CycleGAN ARCHITECTURESIN INVERSE LITHOGRAPHY-BASED 90-nm PHOTOMASK GENERATION

Karandashev I.M., Teplov G.S.

Investigating the Efficiency of Using U-Net, Erf-Net and DeepLabV3 Architectures in Inverse Lithography-based 90-nm Photomask Generation

Karandashev I.M., Teplov G.S., Karmanov A.A., Keremet V.V., Kuzovkov A.V.

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