Churn Prediction for Game Industry Based on Cohort Classification Ensemble. - Evgenii Tsymbalov (EEML@CLA, 2016)

Dropout-Based Active Learning for Regression. - Evgenii Tsymbalov; Maxim Panov; Alexander Shapeev (AIST, 2018)

Compact difference scheme for parabolic and Schrödinger-type equations with variable coefficients. - Vladimir A. Gordin; Evgenii Tsymbalov (J. Comput. Phys., 2018)

User-Assisted Log Analysis for Quality Control of Distributed Fintech Applications. - Iosif Itkin; Anna Gromova; Anton Sitnikov; Dmitry Legchikov; Evgenii Tsymbalov; Rostislav Yavorskiy; Andrey Novikov; Kirill Rudakov (AITest, 2019)

Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning. - Evgenii Tsymbalov; Sergei Makarychev; Alexander Shapeev; Maxim Panov (IJCAI, 2019)

Building a Classification System for Failed Test Reports: Industrial Experience. - Sergey Pavlov; Anna Gromova; Iosif Itkin; Murad Mamedov; Alexander Libkov; Andrey Novikov; Evgenii Tsymbalov (AITest, 2020)

Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles. - Evgenii Tsymbalov; Kirill Fedyanin; Maxim Panov (CoRR, 2020)

Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling. - Kirill Fedyanin; Evgenii Tsymbalov; Maxim Panov (AIST (Supplement), 2021)

How Certain is Your Transformer? - Artem Shelmanov; Evgenii Tsymbalov; Dmitry Puzyrev; Kirill Fedyanin; Alexander Panchenko; Maxim Panov (EACL, 2021)

Uncertainty Estimation of Transformer Predictions for Misclassification Detection. - Artem Vazhentsev; Gleb Kuzmin; Artem Shelmanov; Akim Tsvigun; Evgenii Tsymbalov; Kirill Fedyanin; Maxim Panov; Alexander Panchenko; Gleb Gusev; Mikhail Burtsev 001; Manvel Avetisian; Leonid Zhukov (ACL (1), 2022)

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. - Ekaterina Fadeeva; Aleksandr Rubashevskii; Artem Shelmanov; Sergey Petrakov; Haonan Li 002; Hamdy Mubarak; Evgenii Tsymbalov; Gleb Kuzmin; Alexander Panchenko; Timothy Baldwin; Preslav Nakov; Maxim Panov (ACL (Findings), 2024)

ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change. - David Thulke; Yingbo Gao; Petrus Pelser; Rein Brune; Rricha Jalota; Floris Fok; Michael Ramos; Ian van Wyk; Abdallah Nasir; Hayden Goldstein; Taylor Tragemann; Katie Nguyen; et al. (CoRR, 2024)