Deep elastic strain engineering of bandgap through machine learning Z Shi, E Tsymbalov, M Dao, S Suresh, A Shapeev, J Li
Proceedings of the National Academy of Sciences 116 (10), 4117-4122, 2019
94 2019 Dropout-based active learning for regression E Tsymbalov, M Panov, A Shapeev
Analysis of Images, Social Networks and Texts: 7th International Conference …, 2018
63 2018 How certain is your Transformer? A Shelmanov, E Tsymbalov, D Puzyrev, K Fedyanin, A Panchenko, ...
Proceedings of the 16th Conference of the European Chapter of the …, 2021
39 2021 Metallization of diamond Z Shi, M Dao, E Tsymbalov, A Shapeev, J Li, S Suresh
Proceedings of the National Academy of Sciences 117 (40), 24634-24639, 2020
38 2020 Deeper connections between neural networks and Gaussian processes speed-up active learning E Tsymbalov, S Makarychev, A Shapeev, M Panov
arXiv preprint arXiv:1902.10350, 2019
27 2019 Uncertainty estimation of transformer predictions for misclassification detection A Vazhentsev, G Kuzmin, A Shelmanov, A Tsvigun, E Tsymbalov, ...
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
25 2022 Machine learning for deep elastic strain engineering of semiconductor electronic band structure and effective mass E Tsymbalov, Z Shi, M Dao, S Suresh, J Li, A Shapeev
npj Computational Materials 7 (1), 76, 2021
25 2021 Active learning and uncertainty estimation A Shapeev, K Gubaev, E Tsymbalov, E Podryabinkin
Machine Learning Meets Quantum Physics, 309-329, 2020
20 2020 User-assisted log analysis for quality control of distributed fintech applications I Itkin, A Gromova, A Sitnikov, D Legchikov, E Tsymbalov, R Yavorskiy, ...
2019 IEEE International Conference On Artificial Intelligence Testing …, 2019
15 2019 Compact difference scheme for parabolic and Schrödinger-type equations with variable coefficients VA Gordin, EA Tsymbalov
Journal of Computational Physics 375, 1451-1468, 2018
15 2018 Dropout strikes back: Improved uncertainty estimation via diversity sampled implicit ensembles E Tsymbalov, K Fedyanin, M Panov
CoRR, abs, 2020
12 * 2020 Compact difference schemes for the diffusion and Schrödinger equations. Approximation, stability, convergence, effectiveness, monotony VA Gordin, EA Tsymbalov
Journal of Computational Mathematics, 348-370, 2014
12 2014 Churn prediction for game industry based on cohort classification ensemble E Tsymbalov
5 2016 A fourth-order accurate difference scheme for a differential equation with variable coefficients VA Gordin, EA Tsymbalov
Mathematical Models and Computer Simulations 10, 79-88, 2018
4 2018 Compact difference scheme for the differential equation with piecewise-constant coefficient VA Gordin, EA Tsymbalov
Matematicheskoe modelirovanie 29 (12), 16-28, 2017
4 2017 Compact difference schemes for weakly-nonlinear parabolic and Schrodinger-type equations and systems V Gordin, E Tsymbalov
arXiv preprint arXiv:1712.05185, 2017
3 2017 ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change D Thulke, Y Gao, P Pelser, R Brune, R Jalota, F Fok, M Ramos, I van Wyk, ...
arXiv preprint arXiv:2401.09646, 2024
2 2024 Elastic strain engineering of materials M Dao, J Li, SHI Zhe, E Tsymbalov, A Shapeev, S Suresh
US Patent App. 17/283,949, 2021
2 2021 4 order difference scheme for the differential equation with variable coefficients VA Gordin, EA Tsymbalov
Matematicheskoe modelirovanie 29 (7), 3-14, 2017
2 2017 Modulating electronic properties of semiconductor materials at large mechanical deformation Z Shi, E Tsymbalov, M Dao, S Suresh, A Shapeev, J Li
APS March Meeting Abstracts 2021, V23. 011, 2021
1 2021