| Et-rnn: Applying deep learning to credit loan applications D Babaev, M Savchenko, A Tuzhilin, D Umerenkov Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 97 | 2019 |
| Adversarial attacks on deep models for financial transaction records I Fursov, M Morozov, N Kaploukhaya, E Kovtun, R Rivera-Castro, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 31 | 2021 |
| Temporal network embedding framework with causal anonymous walks representations I Makarov, A Savchenko, A Korovko, L Sherstyuk, N Severin, D Kiselev, ... PeerJ Computer Science 8, e858, 2022 | 30* | 2022 |
| Insights from the neurips 2021 nethack challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022 | 17 | 2022 |
| CoLES: Contrastive Learning for Event Sequences with Self-Supervision D Babaev, N Ovsov, I Kireev, M Ivanova, G Gusev, I Nazarov, A Tuzhilin Proceedings of the 2022 International Conference on Management of Data, 1190 …, 2022 | 16* | 2022 |
| Large-scale parallel matching of social network profiles A Panchenko, D Babaev, S Obiedkov Analysis of Images, Social Networks and Texts: 4th International Conference …, 2015 | 10 | 2015 |
| Learning Various Locomotion Skills from Scratch with Deep Reinforcement Learning DI Sorokin, DL Babaev International Conference on Neuroinformatics, 322-329, 2022 | | 2022 |
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