Kirill Fedyanin

19 papers A* 2A 1B 2Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Falcon2-11B Technical Report. CoRR 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
2023	—	`conf`	LM-Polygraph: Uncertainty Estimation for Language Models. EMNLP (Demos) Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
2023	J	`jnl`	LM-Polygraph: Uncertainty Estimation for Language Models. CoRR Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
2023	J	`jnl`	One-Step Distributional Reinforcement Learning. CoRR Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines
2023	J	`jnl`	One-Step Distributional Reinforcement Learning. Trans. Mach. Learn. Res. Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines
2023	B	`conf`	ScaleFace: Uncertainty-aware Deep Metric Learning. DSAA Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
2022	J	`jnl`	NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. CoRR Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov
2022	A*	`conf`	Nonparametric Uncertainty Quantification for Single Deterministic Neural Network. NeurIPS Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov
2022	J	`jnl`	ScaleFace: Uncertainty-aware Deep Metric Learning. CoRR Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
2022	—	`conf`	Uncertainty Estimation of Transformer Predictions for Misclassification Detection. ACL (1) Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov
2021	—	`conf`	Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling. AIST (Supplement) Kirill Fedyanin, Evgenii Tsymbalov, Maxim Panov
2021	A	`conf`	How Certain is Your Transformer? EACL Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov
2021	J	`jnl`	Linking bank clients using graph neural networks powered by rich transactional data. Int. J. Data Sci. Anal. Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov
2021	—	`conf`	Retrospective on the SENSORIUM 2022 competition. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles. CoRR Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov
2020	A*	`conf`	EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data. ICDM Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev
2020	J	`jnl`	EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data. CoRR Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev
2020	J	`jnl`	Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data. CoRR Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov
2020	B	`conf`	Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data: Extended Abstract. DSAA Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov