Gennadii Filatov

M.Sc. student in Big Data and Machine Learning at ITMO University.

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I am a first-year M.Sc. student in Big Data and Machine Learning at ITMO University, supervised by Irina Deeva in the AIST Laboratory.

My research focuses on synthetic tabular data: how to calibrate generative models so that synthetic data reliably preserves model rankings, enabling trustworthy evaluation of machine learning systems. More broadly, I am interested in generative models and probabilistic inference.

Previously, I completed a B.Sc. in Physics (Nuclear and Particle Physics) at Peter the Great St. Petersburg Polytechnic University, where I worked on experimental data analysis at the PRES experiment.

Research Interests

  • Synthetic tabular data: generation, calibration, and evaluation
  • Generative models (diffusion models, flow matching)
  • Probabilistic inference and uncertainty quantification

selected publications

  1. AISTATS WS
    When Synthetic Data Is Enough: Calibration for Tabular Model Ranking
    Gennadii Filatov and Irina Deeva
    In Towards Trustworthy Predictions: Theory and Applications of Calibration for Modern AI, 2026
    Bib HTML