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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…