1 code implementation • 26 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.
3 code implementations • 30 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.