Evgenii Tsymbalov

Institut der Feuerwehr Nordrhein-Westfalen — Germany

Materials Science · Physical Sciences

10h-index417citations27works8.82yr avg
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Research Topics

Machine Learning in Materials Science(5), Topic Modeling(4), Differential Equations and Numerical Methods(4), Natural Language Processing Techniques(3), Machine Learning and Algorithms(3)

Publications27 total

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
arXiv (Cornell University)·2024Open Access
Phonon stability boundary and deep elastic strain engineering of lattice thermal conductivity
Proceedings of the National Academy of Sciences·2024· 9 citedOpen Access
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
2024· 19 citedOpen Access
Correction to: Recent Trends in Analysis of Images, Social Networks and Texts
Communications in computer and information science·2024Open Access
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change
arXiv (Cornell University)·2024· 16 citedOpen Access
Recent Trends in Analysis of Images, Social Networks and Texts
Communications in computer and information science·2022· 2 cited
Uncertainty Estimation of Transformer Predictions for Misclassification Detection
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)·2022· 19 citedOpen Access
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling
Communications in computer and information science·2022· 3 cited
Analysis of Images, Social Networks and Texts
Lecture notes in computer science·2022· 3 cited
Machine learning for deep elastic strain engineering of semiconductor electronic band structure and effective mass
npj Computational Materials·2021· 42 citedOpen Access
Modulating electronic properties of semiconductor materials at large mechanical deformation
Bulletin of the American Physical Society·2021
How Certain is Your Transformer?
2021· 30 citedOpen Access
Metallization of diamond
Proceedings of the National Academy of Sciences·2020· 49 citedOpen Access
Building a Classification System for Failed Test Reports: Industrial Experience
2020
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling
arXiv (Cornell University)·2020· 1 citedOpen Access
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles.
2020· 1 cited
Active Learning and Uncertainty Estimation
Lecture notes in physics·2020· 19 cited
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
2019· 19 citedOpen Access
User-Assisted Log Analysis for Quality Control of Distributed Fintech Applications
2019· 6 cited
Deep Bandgap and Band Structure Engineering by Machine Learning
Bulletin of the American Physical Society·2019
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Frequent Co-authors

Alexander V. Shapeev(8), Alexander Panchenko(7), Ming Dao(6), Ju Li(6), Maxim Panov(6), Zhe Shi(5), Kirill Fedyanin(5), Subra Suresh(4), Artem Shelmanov(4), Maxim S. Panov(4), V. A. Gordin(4), Dmitry I. Ignatov(3), Michael Khachay(3), Andrey Kutuzov(3), Pãnos M. Pardalos(3), A. Savchenko(3), Elena Tutubalina(3), Ekaterina Fadeeva(2), Aleksandr Rubashevskii(2), Sergey Petrakov(2)