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  1. 2020

  2. Inpainting of local wavefront attributes using artificial intelligence for enhancement of massive 3-D pre-stack seismic data

    Gadylshin, K., Silvestrov, I. & Bakulin, A., 1 Dec 2020, In: Geophysical Journal International. 223, 3, p. 1888-1898 11 p.

    Research output: Contribution to journal › Article › peer-review

  3. Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants

    Penenko, A., Gochakov, A. & Penenko, V., 22 Dec 2020, In: IOP Conference Series: Earth and Environmental Science. 611, 1, 012032.

    Research output: Contribution to journal › Conference article › peer-review

  4. 2021

  5. Bayes Meets Tikhonov: Understanding Uncertainty Within Gaussian Framework for Seismic Inversion

    Izzatullah, M., Peter, D., Kabanikhin, S. & Shishlenin, M., 2021, Studies in Systems, Decision and Control. Ariffin Abdul Karim, S., Saad, N. & Kannan, R. (eds.). 1 ed. Springer, p. 121-145 25 p. (Studies in Systems, Decision and Control; vol. 320).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

  6. Convex Optimization with Inexact Gradients in Hilbert Space and Applications to Elliptic Inverse Problems

    Matyukhin, V., Kabanikhin, S., Shishlenin, M., Novikov, N., Vasin, A. & Gasnikov, A., 2021, Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings. Pardalos, P., Khachay, M. & Kazakov, A. (eds.). Springer, p. 159-175 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12755 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Determining the likely localization of methane sources using forecast time series and satellite data

    Platonova, M. V. & Klimova, E. G., 2021, In: CEUR Workshop Proceedings. 3006, p. 323-329 7 p.

    Research output: Contribution to journal › Conference article › peer-review

  8. Direct estimation of local wavefront attributes using deep learning

    Gadylshin, K., Silvestrov, I. & Bakulin, A., 2021, In: SEG Technical Program Expanded Abstracts. 2021-September, p. 1596-1600 5 p.

    Research output: Contribution to journal › Conference article › peer-review

  9. Forecasting Recessions in the US Economy Using Machine Learning Methods

    Zyatkov, N. & Krivorotko, O., 2021, Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021. Institute of Electrical and Electronics Engineers Inc., p. 139-146 8 p. (Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Influence of the subtropical stratosphere on the Antarctic polar vortex during spring 2019

    Zuev, V. V., Savelieva, E., Borovko, I. V. & Krupchatnikov, V. N., 2021, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 1191677. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11916).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  11. Numerical Solution of the Inverse Problem for Diffusion-Logistic Model Arising in Online Social Networks

    Krivorotko, O., Zvonareva, T. & Zyatkov, N., 2021, Mathematical Optimization Theory and Operations Research: Recent Trends - 20th International Conference, MOTOR 2021, Revised Selected Papers. Strekalovsky, A., Kochetov, Y., Gruzdeva, T. & Orlov, A. (eds.). Springer, p. 444-459 16 p. (Communications in Computer and Information Science; vol. 1476 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  12. Optimization and regularization of the inverse problem for stochastic differential equation using graphics accelerators

    Криворотько, О. И., Неверов, А. В. & Hohage, T., 2021, Russian Supercomputing Days: Proceedings of the International Conference. September 27–28, 2021, Moscow, Russia. p. 32-42 11 p. 5

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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