HDI Lab & TFAIM Lab Seminar 'Towards Better Tabular Representations: Generative Modeling and Distribution Shift'

On April 17, 2026, Irina Deeva (ITMO, HSE University) will deliver a report 'Towards Better Tabular Representations: Generative Modeling and Distribution Shift.'

Abstract:
This talk focuses on tabular data and examines it through the lens of different representation paradigms. We first consider subset-based representations and meta-features, which capture structural properties of datasets, and then move to distribution-level representations based on generative modeling, including Schrödinger bridges. These approaches are illustrated through key applications such as synthetic data generation, out-of-distribution (OOD) testing, and OOD detection. The talk highlights how choosing appropriate representations enables more robust, interpretable, and effective tabular machine learning systems.

Working language: English
The event will be held online.

For any questions, please contact kzelenova@hse.ru or egornostaeva@hse.ru.