2 papers
cs.LG2026
Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks
Joseph Arul Raj, Linglong Qian, Zina Ibrahim
Missing values are pervasive in large-scale time-series data, posing challenges for reliable analysis and decision-making. Many neural architectures have been designed to model and…
cs.LG2026
CSAI: Conditional Self-Attention Imputation for Healthcare Time-series
Linglong Qian, Joseph Arul Raj, Hugh Logan Ellis +5
We introduce the Conditional Self-Attention Imputation (CSAI) model, a novel recurrent neural network architecture designed to address the challenges of complex missing data patter…