{"total":22,"rows":[{"id":"2403.00025","title":"On the Challenges and Opportunities in Generative AI","created":"2024-02-28","cited_by_count":31,"area":null},{"id":"2410.01086","title":"An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes","created":"2024-10-01","cited_by_count":16,"area":null},{"id":"2202.11089","title":"Counterfactual Phenotyping with Censored Time-to-Events","created":"2022-02-22","cited_by_count":13,"area":null},{"id":"2206.10477","title":"Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee","created":"2022-06-21","cited_by_count":9,"area":null},{"id":"2405.20790","title":"Intersectional Unfairness Discovery","created":"2024-05-31","cited_by_count":5,"area":null},{"id":"2301.11826","title":"Deep Clustering Survival Machines with Interpretable Expert Distributions","created":"2023-01-27","cited_by_count":3,"area":null},{"id":"2405.15934","title":"Clustering Survival Data using a Mixture of Non-parametric Experts","created":"2024-05-24","cited_by_count":3,"area":null},{"id":"2209.15450","title":"Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction","created":"2022-09-30","cited_by_count":2,"area":null},{"id":"2211.09287","title":"Variable selection for nonlinear Cox regression model via deep learning","created":"2022-11-17","cited_by_count":2,"area":null},{"id":"2302.03807","title":"A Prototype-Oriented Clustering for Domain Shift with Source Privacy","created":"2023-02-08","cited_by_count":2,"area":null},{"id":"2305.06862","title":"A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information","created":"2023-05-11","cited_by_count":2,"area":null},{"id":"2311.03002","title":"Estimating treatment effects from single-arm trials via latent-variable modeling","created":"2023-11-06","cited_by_count":1,"area":null},{"id":"2408.01294","title":"Feature Clock: High-Dimensional Effects in Two-Dimensional Plots","created":"2024-08-02","cited_by_count":1,"area":null},{"id":"2409.12709","title":"SeqRisk: Transformer-augmented latent variable model for robust survival prediction with longitudinal data","created":"2024-09-19","cited_by_count":1,"area":null},{"id":"2411.10772","title":"MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels","created":"2024-11-16","cited_by_count":1,"area":null},{"id":"2502.09591","title":"Censor Dependent Variational Inference","created":"2025-02-13","cited_by_count":1,"area":null},{"id":"2404.15595","title":"Variational Deep Survival Machines: Survival Regression with Censored Outcomes","created":"2024-04-24","cited_by_count":0,"area":null},{"id":"2506.12944","title":"Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence","created":"2025-06-15","cited_by_count":0,"area":null},{"id":"2602.01367","title":"Deep Variational Contrastive Learning for Joint Risk Stratification and Time-to-Event Estimation","created":"2026-02-01","cited_by_count":0,"area":null},{"id":"2602.22179","title":"Discovering Subgroups with Exceptional Survival Characteristics","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2606.01239","title":"Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2607.24405","title":"K-Survival Means","created":"2026-07-27","cited_by_count":0,"area":null}],"next_cursor":null}