Kirill Fedyanin
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
One-Step Distributional Reinforcement Learning
M Achab, R Alami, YAD Djilali, K Fedyanin, E Moulines
arXiv preprint arXiv:2304.14421, 2023
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