Ivan Rubachev

16 papers A* 6Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
On Finetuning Tabular Foundation Models.
CoRR
Ivan Rubachev, Akim Kotelnikov, Nikolay Kartashev, Artem Babenko
2025 A* conf
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks.
ICLR
Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko
2025 J jnl
Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data.
CoRR
George Yakushev, Alina Shutova, Ivan Rubachev, Renat Sergazinov, Artem Babenko
2025 J jnl
Unveiling the Role of Data Uncertainty in Tabular Deep Learning.
CoRR
Nikolay Kartashev, Ivan Rubachev, Artem Babenko
2024 A* conf
TabR: Tabular Deep Learning Meets Nearest Neighbors.
ICLR
Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
2024 J jnl
TabReD: A Benchmark of Tabular Machine Learning in-the-Wild.
CoRR
Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko
2023 A* conf
TabDDPM: Modelling Tabular Data with Diffusion Models.
ICML
Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
2023 J jnl
TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning.
CoRR
Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
2022 A* conf
Label-Efficient Semantic Segmentation with Diffusion Models.
ICLR
Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
2022 A* conf
On Embeddings for Numerical Features in Tabular Deep Learning.
NeurIPS
Yury Gorishniy, Ivan Rubachev, Artem Babenko
2022 J jnl
On Embeddings for Numerical Features in Tabular Deep Learning.
CoRR
Yury Gorishniy, Ivan Rubachev, Artem Babenko
2022 J jnl
Revisiting Pretraining Objectives for Tabular Deep Learning.
CoRR
Ivan Rubachev, Artem Alekberov, Yury Gorishniy, Artem Babenko
2022 J jnl
TabDDPM: Modelling Tabular Data with Diffusion Models.
CoRR
Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
2021 J jnl
Label-Efficient Semantic Segmentation with Diffusion Models.
CoRR
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko
2021 A* conf
Revisiting Deep Learning Models for Tabular Data.
NeurIPS
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
2021 J jnl
Revisiting Deep Learning Models for Tabular Data.
CoRR
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko