TabDDPM: Modelling Tabular Data with Diffusion Models. - Akim Kotelnikov; Dmitry Baranchuk; Ivan Rubachev; Artem Babenko (ICML, 2023)

TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning. - Yury Gorishniy; Ivan Rubachev; Nikolay Kartashev; Daniil Shlenskii; Akim Kotelnikov; Artem Babenko (CoRR, 2023)

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

TabM: Advancing tabular deep learning with parameter-efficient ensembling. - Yury Gorishniy; Akim Kotelnikov; Artem Babenko (ICLR, 2025)

On Finetuning Tabular Foundation Models. - Ivan Rubachev; Akim Kotelnikov; Nikolay Kartashev; Artem Babenko (CoRR, 2025)