Kirill Fedyanin

According to our database, Kirill Fedyanin authored at least 13 papers between 2020 and 2023.

Collaborative distances:

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

2023

One-Step Distributional Reinforcement Learning.

Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines

CoRR, 2023

LM-Polygraph: Uncertainty Estimation for Language Models.

Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ScaleFace: Uncertainty-aware Deep Metric Learning.

Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks.

Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov

CoRR, 2022

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network.

Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Linking bank clients using graph neural networks powered by rich transactional data.

Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov

Int. J. Data Sci. Anal., 2021

Retrospective on the SENSORIUM 2022 competition.

Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin-Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz

Proceedings of the NeurIPS 2022 Competition Track, 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

EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data.

Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data: Extended Abstract.

Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020