SODEN: A Scalable Continuous-Time Survival Model through Ordinary
Differential Equation Networks

v1v2 (latest)

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks

19 August 2020

Jiaqi Ma

ArXiv (abs)PDF HTML Github (13★)

Papers citing "SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks"

8 / 8 papers shown

Title
Fairness in Survival Analysis with Distributionally Robust Optimization Shu Hu George H. Chen 95 7 0 31 Aug 2024
Neural Network-Based Piecewise Survival Models Olov Holmer Erik Frisk Mattias Krysander 22 0 0 27 Mar 2024
Recent Trends in Artificial Intelligence Technology: A Scoping Review Teemu Niskanen T. Sipola Olli Väänänen 68 1 0 08 May 2023
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions Ruofan Wu Jiawei Qiao Mingzhe Wu Wen Yu M. Zheng Tengfei Liu Tianyi Zhang Weiqiang Wang 47 1 0 18 Mar 2023
KL-divergence Based Deep Learning for Discrete Time Model Li Liu Xiangeng Fang Di Wang Weijing Tang Kevin He 30 1 0 10 Aug 2022
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee George H. Chen 458 3 0 21 Jun 2022
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis Tim Pearce Jong-Hyeon Jeong Yichen Jia Jun Zhu 44 2 0 26 May 2022
Survival Regression with Proper Scoring Rules and Monotonic Neural Networks David Rindt Robert Hu D. Steinsaltz Dino Sejdinovic 191 38 0 26 Mar 2021