Normalizing Self-Supervised Learning for Provably Reliable Change Point Detection. - Alexandra Bazarova; Evgenia Romanenkova; Alexey Zaytsev 002 (ICDM, 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 002 (CoRR, 2024)

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 002 (Int. J. Inf. Manag. Data Insights, 2025)

Hallucination Detection in LLMs via Topological Divergence on Attention Graphs. - 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; et al. (CoRR, 2025)

Attention Head Embeddings with Trainable Deep Kernels for Hallucination Detection in LLMs. - Rodion Oblovatny; Alexandra Bazarova; Alexey Zaytsev 002 (CoRR, 2025)