3 papers
cs.LG2026
SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis
Stanislav R. Kirpichenko, Andrei V. Konstantinov, Lev V. Utkin
Survival analysis aims to estimate a time-to-event distribution from data with censored observations. Many existing methods either impose structural assumptions on the hazard funct…
cs.LG2026
TabSurv: Adapting Modern Tabular Neural Networks to Survival Analysis
Stanislav Kirpichenko, Andrei Konstantinov, Lev Utkin
Survival analysis on tabular data is a well-studied problem. However, existing deep learning methods are often highly task-specific, which can limit the transfer of new approaches…
cs.LG2025
Survival Concept-Based Learning Models
Stanislav R. Kirpichenko, Lev V. Utkin, Andrei V. Konstantinov +1
Concept-based learning enhances prediction accuracy and interpretability by leveraging high-level, human-understandable concepts. However, existing CBL frameworks do not address su…