LightAutoML: AutoML Solution for a Large Financial Services Ecosystem. - Anton Vakhrushev; Alexander Ryzhkov; Maxim Savchenko; Dmitry Simakov; Rinchin Damdinov; Alexander Tuzhilin (CoRR, 2021)

A Large-Scale Empirical Study of Aligned Time Series Forecasting. - Polina Pilyugina; Svetlana Medvedeva; Kirill Mosievich; Ilya Trofimov; Alina Kostromina; Dmitry Simakov; Evgeny Burnaev (IEEE Access, 2024)

Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize? - Kseniia Kuvshinova; Olga Tsymboi; Alina Kostromina; Dmitry Simakov; Elizaveta Kovtun (CoRR, 2024)

Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs. - Julia Belikova; Konstantin Polev; Rauf Parchiev; Dmitry Simakov (SIGIR, 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)

Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control. - Anton Klenitskiy; Konstantin Polev; Daria Denisova; Alexey Vasilev; Dmitry Simakov; Gleb Gusev (CoRR, 2025)

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data. - Aleksey Lapin; Igor Hromov; Stanislav Chumakov; Mile Mitrovic; Dmitry Simakov; Nikolay O. Nikitin; Andrey V. Savchenko (CoRR, 2025)