Renat Sergazinov

13 papers A* 3Misc 1Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Chunked TabPFN: Exact Training-Free In-Context Learning for Long-Context Tabular Data.
CoRR
Renat Sergazinov, Shao-An Yin
2025 A* conf
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels.
AAAI
Renat Sergazinov, Richard Chen, Cheng Ji, Jing Wu, Daniel Cociorva, Hakan Brunzell
2025 J jnl
Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL.
CoRR
Renat Sergazinov, Jing Wu, Shao-An Yin
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
2024 J jnl
A spectral method for multi-view subspace learning using the product of projections.
CoRR
Renat Sergazinov, Armeen Taeb, Irina Gaynanova
2024 A* conf
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks.
ICLR
Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel J. Fernandes, Nicholas Kasman, Irina Gaynanova
2024 J jnl
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks.
CoRR
Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel J. Fernandes, Nicholas Kasman, Irina Gaynanova
2024 A* conf
SwitchTab: Switched Autoencoders Are Effective Tabular Learners.
AAAI
Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzell
2024 J jnl
SwitchTab: Switched Autoencoders Are Effective Tabular Learners.
CoRR
Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzell
2023 Misc conf
Gluformer: Transformer-based Personalized glucose Forecasting with uncertainty quantification.
ICASSP
Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova
2022 J jnl
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification.
CoRR
Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova
2021 J jnl
Machine learning approach to force reconstruction in photoelastic materials.
Mach. Learn. Sci. Technol.
Renat Sergazinov, Miroslav Kramár
2020 J jnl
Machine learning approach to force reconstruction in photoelastic materials.
CoRR
Renat Sergazinov, Miroslav Kramár