Evgenii Tsymbalov

According to our database, Evgenii Tsymbalov authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Ariana Fowler, Andrew Stanco, Jon Gabriel, Jordan Taylor, Dean Moro, Evgenii Tsymbalov, Juliette de Waal, Evgeny Matusov, Mudar Yaghi, Mohammad Shihadah, Hermann Ney, Christian Dugast, Jonathan Dotan, Daniel Erasmus

CoRR, 2024

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification.

Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022

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, Manvel Avetisian, Leonid Zhukov

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

How Certain is Your Transformer?

Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling.

Kirill Fedyanin, Evgenii Tsymbalov, Maxim Panov

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2021

2020

Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles.

Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov

CoRR, 2020

Building a Classification System for Failed Test Reports: Industrial Experience.

Sergey Pavlov, Anna Gromova, Iosif Itkin, Murad Mamedov, Alexander Libkov, Andrey Novikov, Evgenii Tsymbalov

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2020

2019

Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning.

Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019

2018

Compact difference scheme for parabolic and Schrödinger-type equations with variable coefficients.

Vladimir A. Gordin, Evgenii Tsymbalov

J. Comput. Phys., 2018

Dropout-Based Active Learning for Regression.

Evgenii Tsymbalov, Maxim Panov, Alexander Shapeev

Proceedings of the Analysis of Images, Social Networks and Texts, 2018

2016

Churn Prediction for Game Industry Based on Cohort Classification Ensemble.

Evgenii Tsymbalov

Proceedings of the Third Workshop on Experimental Economics and Machine Learning co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), 2016