Gennadii Filatov
Second-year M.Sc. student in Big Data and Machine Learning at ITMO University.
I am a second-year M.Sc. student in Big Data and Machine Learning at ITMO University, supervised by Irina Deeva in the AIST Laboratory. Irina has since moved to HSE University, where I continue this research under her supervision.
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. I am also interested in generative modeling more broadly, including diffusion models and flow matching for structured and sequential data. More broadly, I am interested in generative models and probabilistic inference.
In summer 2026, I was selected for the SMILES International Summer School on Machine Learning, where I contributed to a project on few-step text generation using categorical flow maps.
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 at SPbPU.
Honors & Awards
- Erasmus+ Mobility Grant (2026-2027) — competitive EU-funded academic exchange at Alexandru Ioan Cuza University of Iasi, Romania, awarded through a selective institutional process.
- Enhanced State Academic Scholarship (2022–2025) — top 5% of SPbPU students
- Student of the Year (2024) — Peter the Great St. Petersburg Polytechnic University
- IAPS Worldwide Grant (2024) — for participation in ICPS 2024
Research Interests
- Synthetic tabular data: generation, calibration, and evaluation
- Generative models (diffusion models, flow matching)
- Probabilistic inference and uncertainty quantification