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ORCIDEvgenii Tsymbalov
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Journal Articles
- 2018
[j1]Vladimir A. Gordin
, Evgenii Tsymbalov:
Compact difference scheme for parabolic and Schrödinger-type equations with variable coefficients. J. Comput. Phys. 375: 1451-1468 (2018)
Conference and Workshop Papers
- 2024
- [c9]Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov:
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. ACL (Findings) 2024: 9367-9385 - 2022
- [c8]Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov:
Uncertainty Estimation of Transformer Predictions for Misclassification Detection. ACL (1) 2022: 8237-8252 - 2021
- [c7]Kirill Fedyanin, Evgenii Tsymbalov, Maxim Panov:
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling. AIST (Supplement) 2021: 125-137 - [c6]Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov:
How Certain is Your Transformer? EACL 2021: 1833-1840 - 2020
- [c5]Sergey Pavlov, Anna Gromova, Iosif Itkin, Murad Mamedov, Alexander Libkov, Andrey Novikov, Evgenii Tsymbalov:
Building a Classification System for Failed Test Reports: Industrial Experience. AITest 2020: 91-98 - 2019
- [c4]Iosif Itkin, Anna Gromova, Anton Sitnikov, Dmitry Legchikov, Evgenii Tsymbalov, Rostislav Yavorskiy, Andrey Novikov, Kirill Rudakov:
User-Assisted Log Analysis for Quality Control of Distributed Fintech Applications. AITest 2019: 45-51 - [c3]Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov:
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning. IJCAI 2019: 3599-3605 - 2018
- [c2]Evgenii Tsymbalov, Maxim Panov, Alexander Shapeev:
Dropout-Based Active Learning for Regression. AIST 2018: 247-258 - 2016
- [c1]Evgenii Tsymbalov:
Churn Prediction for Game Industry Based on Cohort Classification Ensemble. EEML@CLA 2016: 94-100
Editorship
- 2024
- [e4]Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko:
Recent Trends in Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, Revised Selected Papers. Communications in Computer and Information Science 1905, Springer 2024, ISBN 978-3-031-67007-7 [contents] - [e3]Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko:
Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14486, Springer 2024, ISBN 978-3-031-54533-7 [contents] - 2022
- [e2]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Supplementary Proceedings. Communications in Computer and Information Science 1573, Springer 2022, ISBN 978-3-031-15167-5 [contents] - [e1]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13217, Springer 2022, ISBN 978-3-031-16499-6 [contents]
Informal and Other Publications
- 2024
- [i5]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:
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change. CoRR abs/2401.09646 (2024) - [i4]Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov:
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. CoRR abs/2403.04696 (2024) - 2020
- [i3]Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov:
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles. CoRR abs/2003.03274 (2020) - 2019
- [i2]Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov:
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning. CoRR abs/1902.10350 (2019) - 2018
- [i1]Evgenii Tsymbalov, Maxim Panov, Alexander Shapeev:
Dropout-based Active Learning for Regression. CoRR abs/1806.09856 (2018)
Coauthor Index
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