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2020 – today
- 2026
[i4]Aleksandr Yugay, Hang Cui, Changhua Pei, Alexey Zaytsev:
Strong Linear Baselines Strike Back: Closed-Form Linear Models as Gaussian Process Conditional Density Estimators for TSAD. CoRR abs/2602.00672 (2026)- 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]Alexander Marusov, Aleksandr Yugay, Alexey Zaytsev:
A Theoretical Framework for Self-Supervised Contrastive Learning for Continuous Dependent Data. ICDM 2025: 575-584 - [c3]Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay, Andrey V. Savchenko, Dmitry Simakov:
Tsururu: A Python-based Time Series Forecasting Strategies Library. IJCAI 2025: 11077-11081 - [c2]Sergey Korchagin, Ekaterina Zaychenkova, Aleksei Khalin, Aleksandr Yugay, Alexey Zaytsev, Egor I. Ershov:
Improving Uncertainty Estimation with Confidence-Aware Training Data. WACV 2025: 7991-8001 - [i3]Alexandra Bazarova, Aleksandr Yugay, Andrey Shulga, Alina Ermilova, Andrei V. Sokolov, Konstantin Polev, Julia Belikova, Rauf Parchiev, Dmitry Simakov, Maxim Savchenko, Andrey V. Savchenko, Serguei Barannikov, Alexey Zaytsev:
Hallucination Detection in LLMs via Topological Divergence on Attention Graphs. CoRR abs/2504.10063 (2025) - [i2]Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay, Andrey V. Savchenko, Dmitry Simakov:
Tsururu: A Python-based Time Series Forecasting Strategies Library. CoRR abs/2509.15843 (2025) - 2024
- [c1]Aleksandr Yugay, Alexey Zaytsev:
Uniting Contrastive and Generative Learning for Event Sequences Models. AIST 2024: 235-246 - [i1]Aleksandr Yugay, Alexey Zaytsev:
Uniting contrastive and generative learning for event sequences models. CoRR abs/2408.09995 (2024)
Coauthor Index
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