Kirill Fedyanin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Transactional Data

Mahalanobis Metric

Top Venues

Publications

Quentin Malartic, Nilabhra Roy Chowdhury, Ruxandra Cojocaru, Mugariya Farooq, Giulia Campesan, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Maksim Velikanov, Basma El Amel Boussaha, Mohammed Al-Yafeai, Hamza Alobeidli, Leen Al Qadi, Mohamed El Amine Seddik, Kirill Fedyanin, Réda Alami, Hakim Hacid
Falcon2-11B Technical Report. CoRR (2024)
Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines
One-Step Distributional Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines
One-Step Distributional Reinforcement Learning. CoRR (2023)
Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
LM-Polygraph: Uncertainty Estimation for Language Models. CoRR (2023)
Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
LM-Polygraph: Uncertainty Estimation for Language Models. EMNLP (Demos) (2023)
Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
ScaleFace: Uncertainty-aware Deep Metric Learning. DSAA (2023)
Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
ScaleFace: Uncertainty-aware Deep Metric Learning. CoRR (2022)
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)
Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network. NeurIPS (2022)
Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. CoRR (2022)
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
Retrospective on the SENSORIUM 2022 competition. NeurIPS (Competition and Demos) (2021)
Kirill Fedyanin, Evgenii Tsymbalov, Maxim Panov
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling. AIST (Supplement) (2021)
Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov
How Certain is Your Transformer? EACL (2021)
Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov
Linking bank clients using graph neural networks powered by rich transactional data. Int. J. Data Sci. Anal. 12 (2) (2021)
Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data. CoRR (2020)
Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev
EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data. ICDM (2020)
Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data: Extended Abstract. DSAA (2020)
Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev
EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data. CoRR (2020)
Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles. CoRR (2020)