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Kirill Fedyanin
Kirill Fedyanin
TII
Подтвержден адрес электронной почты в домене tii.ae - Главная страница
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Процитировано
Процитировано
Год
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
502021
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
462022
LM-polygraph: Uncertainty estimation for language models
E Fadeeva, R Vashurin, A Tsvigun, A Vazhentsev, S Petrakov, K Fedyanin, ...
arXiv preprint arXiv:2311.07383, 2023
362023
Linking bank clients using graph neural networks powered by rich transactional data
V Shumovskaia, K Fedyanin, I Sukharev, D Berestnev, M Panov
International Journal of Data Science and Analytics 12 (2), 135-145, 2021
34*2021
Nonparametric uncertainty quantification for single deterministic neural network
N Kotelevskii, A Artemenkov, K Fedyanin, F Noskov, A Fishkov, ...
Advances in Neural Information Processing Systems 35, 36308-36323, 2022
30*2022
Dropout strikes back: Improved uncertainty estimation via diversity sampled implicit ensembles
E Tsymbalov, K Fedyanin, M Panov
International Conference on Analysis of Images, Social Networks and Texts, AIST, 2021
14*2021
Ews-gcn: Edge weight-shared graph convolutional network for transactional banking data
I Sukharev, V Shumovskaia, K Fedyanin, M Panov, D Berestnev
2020 IEEE International Conference on Data Mining (ICDM), 1268-1273, 2020
112020
Falcon2-11b technical report
Q Malartic, NR Chowdhury, R Cojocaru, M Farooq, G Campesan, ...
arXiv preprint arXiv:2407.14885, 2024
52024
Scaleface: Uncertainty-aware deep metric learning
R Kail, K Fedyanin, N Muravev, A Zaytsev, M Panov
2023 IEEE 10th International Conference on Data Science and Advanced …, 2023
42023
One-step distributional reinforcement learning
M Achab, R Alami, YAD Djilali, K Fedyanin, E Moulines
arXiv preprint arXiv:2304.14421, 2023
32023
Distributional deep Q-learning with CVaR regression
M Achab, R Alami, YAD Djilali, K Fedyanin, E Moulines, M Panov
Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
32022
Retrospective on the SENSORIUM 2022 competition
KF Willeke, PG Fahey, M Bashiri, L Hansel, C Blessing, KK Lurz, MF Burg, ...
NeurIPS 2022 Competition Track, 314-333, 2023
22023
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