Search Results for author: Akim Kotelnikov

Found 2 papers, 2 papers with code

TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023

1 code implementation26 Jul 2023 Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko

Deep learning (DL) models for tabular data problems (e. g. classification, regression) are currently receiving increasingly more attention from researchers.

Retrieval

TabDDPM: Modelling Tabular Data with Diffusion Models

3 code implementations30 Sep 2022 Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko

Denoising diffusion probabilistic models are currently becoming the leading paradigm of generative modeling for many important data modalities.

Denoising

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