Rubachev, Ivan

6 publications

ICLR 2025 TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko

ICLR 2024 TabR: Tabular Deep Learning Meets Nearest Neighbors Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko

ICML 2023 TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko

ICLR 2022 Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko

NeurIPS 2022 On Embeddings for Numerical Features in Tabular Deep Learning Yury Gorishniy, Ivan Rubachev, Artem Babenko

NeurIPS 2021 Revisiting Deep Learning Models for Tabular Data Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko