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Disambiguation of "Oladyshkin, Sergey"

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The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory

, , , , , and . Neural Networks, (2023 (accepted))

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apl. Prof. Dr. Sergey Oladyshkin University of Stuttgart

Sergey Abramov University of Stuttgart

 

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Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs, , , and . Petroleum geoscience, 23 (2): 270-283 (2017)A unified framework for quantitative interdisciplinary flood risk assessment, , , , , , , , , and 7 other author(s). American Geophysical Union, Fall Meeting 2020, page H177-01. Smithsonian Astrophysical Observatory, (2020)Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture, , , and . Energies, 13 (15): 3873 (2020)Finite Volume Neural Network : Modeling Subsurface Contaminant Transport, , , , , and . ICLR 2021 : Ninth International Conference on Learning Representations, Cornell University, (2021)Stability criteria for Bayesian calibration of reservoir sedimentation models, , , , , , and . Modeling earth systems and environment, (2023)Surrogate-based Bayesian comparison of computationally expensive models : application to microbially induced calcite precipitation, , , , , , and . Computational geosciences, 25 (6): 1899-1917 (2021)Data-driven surrogate-based Bayesian model calibration for predicting vadose zone temperatures in drinking water supply pipes, , , , and . Geophys. Res. Abstr., 25, EGU2024-7820, EGU General Assembly 2024, (April 2024)Bayesian3 active learning for Gaussian process emulator using information theory, , , and . Entropy, 22 (0890): 1-27 (2020)The sparse Polynomial Chaos expansion: a fully Bayesian approach with joint priors on the coefficients and global selection of terms, , , and . Journal of Computational Physics, (2023)A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms, , , and . Journal of computational physics, (2023)