Ivan Kireev

According to our database, Ivan Kireev authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

2025

Automated Evolutionary Optimization for Resource-Efficient Neural Network Training.

Ilia Revin, Leon Strelkov, Vadim A. Potemkin, Ivan Kireev, Andrey V. Savchenko

CoRR, October, 2025

LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients.

Egor Fadeev, Dzhambulat Mollaev, Aleksei Shestov, Dima Korolev, Omar Zoloev, Ivan Kireev, Andrey V. Savchenko, Maksim Makarenko

CoRR, August, 2025

Learning transactions representations for information management in banks: Mastering local, global, and external knowledge.

Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev

Int. J. Inf. Manag. Data Insights, 2025

PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences.

Artem Sakhno, Ivan Kireev, Dmitrii Babaev, Maxim Savchenko, Gleb Gusev, Andrey Savchenko

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models.

Aleksei Shestov, Omar Zoloev, Maksim Makarenko, Mikhail Orlov, Egor Fadeev, Ivan Kireev, Andrey V. Savchenko

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Multimodal Banking Dataset: Understanding Client Needs through Event Sequences.

Dzhambulat Mollaev, Ivan Kireev, Mikhail Orlov, Alexander Kostin, Ivan Karpukhin, Maria Postnova, Gleb Gusev, Andrey Savchenko

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Multimodal Banking Dataset: Understanding Client Needs through Event Sequences.

Dzhambulat Mollaev, Alexander Kostin, Maria Postnova, Ivan Karpukhin, Ivan Kireev, Gleb Gusev, Andrey V. Savchenko

CoRR, 2024

ESQA: Event Sequences Question Answering.

Irina Abdullaeva, Andrei Filatov, Mikhail Orlov, Ivan Karpukhin, Viacheslav Vasilev, Denis Dimitrov, Andrey Kuznetsov, Ivan Kireev, Andrey V. Savchenko

CoRR, 2024

Universal representations for financial transactional data: embracing local, global, and external contexts.

Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Alexandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev

CoRR, 2024

2023

Continuous-time convolutions model of event sequences.

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

CoRR, 2023

Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems.

Nikita Severin, Andrey V. Savchenko, Dmitrii Kiselev, Maria Ivanova, Ivan Kireev, Ilya Makarov

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

CoLES: Contrastive Learning for Event Sequences with Self-Supervision.

Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Adversarial Attacks on Deep Models for Financial Transaction Records.

Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Event sequence metric learning.

Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin

CoRR, 2020