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2020 – today
- 2025
[j1]Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov
, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev:
Learning transactions representations for information management in banks: Mastering local, global, and external knowledge. Int. J. Inf. Manag. Data Insights 5(1): 100323 (2025)- [c4]Artem Sakhno, Ivan Kireev, Dmitrii Babaev, Maxim Savchenko, Gleb Gusev, Andrey Savchenko:
PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences. IJCAI 2025: 11104-11108 - [i9]Aleksei Shestov, Omar Zoloev, Maksim Makarenko, Mikhail Orlov, Egor Fadeev, Ivan Kireev, Andrey V. Savchenko:
LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models. CoRR abs/2508.05688 (2025) - [i8]Egor Fadeev, Dzhambulat Mollaev, Aleksei Shestov, Dima Korolev, Omar Zoloev, Ivan Kireev, Andrey V. Savchenko, Maksim Makarenko:
LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients. CoRR abs/2508.10021 (2025) - [i7]Ilia Revin, Leon Strelkov, Vadim A. Potemkin, Ivan Kireev, Andrey V. Savchenko:
Automated Evolutionary Optimization for Resource-Efficient Neural Network Training. CoRR abs/2510.09566 (2025) - 2024
- [i6]Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Alexandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev:
Universal representations for financial transactional data: embracing local, global, and external contexts. CoRR abs/2404.02047 (2024) - [i5]Irina Abdullaeva, Andrei Filatov, Mikhail Orlov, Ivan Karpukhin, Viacheslav Vasilev, Denis Dimitrov, Andrey Kuznetsov, Ivan Kireev, Andrey V. Savchenko:
ESQA: Event Sequences Question Answering. CoRR abs/2407.12833 (2024) - [i4]Dzhambulat Mollaev, Alexander Kostin, Postnova Maria, Ivan Karpukhin, Ivan Kireev, Gleb Gusev, Andrey V. Savchenko:
Multimodal Banking Dataset: Understanding Client Needs through Event Sequences. CoRR abs/2409.17587 (2024) - 2023
- [c3]Nikita Severin, Andrey V. Savchenko, Dmitrii Kiselev, Maria Ivanova, Ivan Kireev, Ilya Makarov:
Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems. RecSys 2023: 919-925 - [i3]Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva, Artem Zabolotnyi, Alexander Stepikin, Vladimir Zholobov, Maria Ivanova, Mikhail Orlov, Ivan Kireev, Evgeny Burnaev, Rodrigo Rivera-Castro, Alexey Zaytsev:
Continuous-time convolutions model of event sequences. CoRR abs/2302.06247 (2023) - 2022
- [c2]Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin:
CoLES: Contrastive Learning for Event Sequences with Self-Supervision. SIGMOD Conference 2022: 1190-1199 - 2021
- [c1]Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev:
Adversarial Attacks on Deep Models for Financial Transaction Records. KDD 2021: 2868-2878 - [i2]Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev:
Adversarial Attacks on Deep Models for Financial Transaction Records. CoRR abs/2106.08361 (2021) - 2020
- [i1]Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin:
Event sequence metric learning. CoRR abs/2002.08232 (2020)
Coauthor Index
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