Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Network. Part II: Correlation Maximization von Pushkareva, M. M., Karandashev, I. M.

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Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Networks von Malsagov, M. Yu, Khayrov, E. M., Pushkareva, M. M., Karandashev, I. M.

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Simulation of Hydrogen Combustion at Different Pressures Using a Neural Network von Mal’sagov, M. Yu, Mikhal’chenko, E. V., Karandashev, I. M., Nikitin, V. F.

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Approach to combustion calculation using neural network von Nikitin, V.F., Karandashev, I.M., Malsagov, M. Yu, Mikhalchenko, E.V.

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Neural network approach to solve gas dynamics problems with chemical transformations von Betelin, V.B., Kryzhanovsky, B.V., Smirnov, N.N., Nikitin, V.F., Karandashev, I.M., Malsagov, M.Yu, Mikhalchenko, E.V.

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Analytical expressions for a finite-size 2D Ising model von Karandashev, I. M., Kryzhanovsky, B. V., Malsagov, M. Yu

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Dependence of Critical Parameters of 2D Ising Model on Lattice Size von Kryzhanovsky, B. V., Malsagov, M. Yu, Karandashev, I. M.

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Spectral Characteristics of a Finite 2D Ising Model von Karandashev, I. M., Kryzhanovsky, B. V., Malsagov, M. Yu

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Using Machine Learning Methods to Predict the Magnitude and the Direction of Mask Fragments Displacement in Optical Proximity Correction (OPC) von Tryasoguzov, P. E., Kuzovkov, A. V., Karandashev, I. M., Teplov, G. S.

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Next Neighbors Addition-Induced Change of 2D Ising Model Critical Parameters von Kryzhanovsky, B. V., Karandashev, I. M.

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Change in Density of States of 2D Ising Model when Next-Neighbor Interaction Is Introduced von Karandashev, I. M., Kryzhanovsky, B. V.

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Machine learning methods for modeling the kinetics of combustion in problems of space safety von Malsagov, M.Yu, Mikhalchenko, E.V., Karandashev, I.M., Stamov, L.I.

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Computational verification of approximate probabilistic estimates of operational efficiency of random neural networks von Karandashev, I. M., Dunin-Barkowski, W. L.

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Investigating the Efficiency of Using U-Net, Erf-Net and DeepLabV3 Architectures in Inverse Lithography-based 90-nm Photomask Generation von Karandashev, I. M., Teplov, G. S., Karmanov, A. A., Keremet, V. V., Kuzovkov, A. V.

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Polynomial algorithm for exact calculation of partition function for binary spin model on planar graphs von Karandashev, Ya. M., Malsagov, M. Yu

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Linear Prediction Algorithms for Lossless Audio Data Compression von Telyatnikov, L. S., Karandashev, I. M.

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The Analytical Expressions for a Finite-Size 2D Ising Model von Malsagov, M. Yu, Karandashev, I. M, Kryzhanovsky, B. V

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Post-training Quantization of Deep Neural Network Weights von Khayrov, E. M., Malsagov, M. Yu, Karandashev, I. M.

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P-InAsSbP/p-InAs0.88Sb0.12/n-InAs0.88Sb0.12/n+-InAs PDs with a smooth p-n junction von Il'inskaya, N.D., Karandashev, S.A., Lavrov, A.A., Matveev, B.A., Remennyi, M.A., Stus', N.M., Usikova, A.A.

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Transformation of energy landscape in the problem of binary minimization von Karandashev, Ya. M., Kryzhanovsky, B. V.

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