TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis
Fuente:
arXiv
Saved in:
| Main Author: | Abraich, Ayoub |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems
by: Abraich, Ayoub
Published: (2025)
by: Abraich, Ayoub
Published: (2025)
ConSurv: Multimodal Continual Learning for Survival Analysis
by: Yu, Dianzhi, et al.
Published: (2025)
by: Yu, Dianzhi, et al.
Published: (2025)
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
by: Monod, Mélodie, et al.
Published: (2025)
by: Monod, Mélodie, et al.
Published: (2025)
TorchSurv: A Lightweight Package for Deep Survival Analysis
by: Monod, Mélodie, et al.
Published: (2024)
by: Monod, Mélodie, et al.
Published: (2024)
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network
by: Ridzuan, Muhammad, et al.
Published: (2024)
by: Ridzuan, Muhammad, et al.
Published: (2024)
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis
by: Zhang, Liwen, et al.
Published: (2024)
by: Zhang, Liwen, et al.
Published: (2024)
TabSurv: Adapting Modern Tabular Neural Networks to Survival Analysis
by: Kirpichenko, Stanislav, et al.
Published: (2026)
by: Kirpichenko, Stanislav, et al.
Published: (2026)
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
by: Brockschmidt, Marie, et al.
Published: (2025)
by: Brockschmidt, Marie, et al.
Published: (2025)
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
by: Sun, Xiaotong, et al.
Published: (2024)
by: Sun, Xiaotong, et al.
Published: (2024)
ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks
by: Zhai, Wankang
Published: (2024)
by: Zhai, Wankang
Published: (2024)
SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
by: Noroozizadeh, Shahriar, et al.
Published: (2026)
by: Noroozizadeh, Shahriar, et al.
Published: (2026)
SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysis
by: Mesinovic, Munib, et al.
Published: (2025)
by: Mesinovic, Munib, et al.
Published: (2025)
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
by: Saeed, Numan, et al.
Published: (2024)
by: Saeed, Numan, et al.
Published: (2024)
SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis
by: Liu, Yu, et al.
Published: (2025)
by: Liu, Yu, et al.
Published: (2025)
SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms
by: Utkin, Lev V., et al.
Published: (2024)
by: Utkin, Lev V., et al.
Published: (2024)
SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networks
by: Mastroleo, Marina, et al.
Published: (2026)
by: Mastroleo, Marina, et al.
Published: (2026)
TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction
by: Zeng, Sihang, et al.
Published: (2025)
by: Zeng, Sihang, et al.
Published: (2025)
SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2024)
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2024)
Towards the Causal Complete Cause of Multi-Modal Representation Learning
by: Wang, Jingyao, et al.
Published: (2024)
by: Wang, Jingyao, et al.
Published: (2024)
A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
by: Pham, Khiem, et al.
Published: (2023)
by: Pham, Khiem, et al.
Published: (2023)
Causal Fairness for Survival Analysis
by: Plecko, Drago
Published: (2026)
by: Plecko, Drago
Published: (2026)
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction
by: Chen, Ying, et al.
Published: (2024)
by: Chen, Ying, et al.
Published: (2024)
HySurvPred: Multimodal Hyperbolic Embedding with Angle-Aware Hierarchical Contrastive Learning and Uncertainty Constraints for Survival Prediction
by: Yang, Jiaqi, et al.
Published: (2025)
by: Yang, Jiaqi, et al.
Published: (2025)
Horseshoe Forests for High-Dimensional Causal Survival Analysis
by: Jacobs, Tijn, et al.
Published: (2025)
by: Jacobs, Tijn, et al.
Published: (2025)
Multi-modal Causal Structure Learning and Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
DySurv: dynamic deep learning model for survival analysis with conditional variational inference
by: Mesinovic, Munib, et al.
Published: (2023)
by: Mesinovic, Munib, et al.
Published: (2023)
Reinforcement Learning with Options and State Representation
by: Ghriss, Ayoub, et al.
Published: (2024)
by: Ghriss, Ayoub, et al.
Published: (2024)
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations
by: Yao, Dingling, et al.
Published: (2025)
by: Yao, Dingling, et al.
Published: (2025)
Dynamic Survival Analysis for Early Event Prediction
by: Yèche, Hugo, et al.
Published: (2024)
by: Yèche, Hugo, et al.
Published: (2024)
Dynamical Survival Analysis with Controlled Latent States
by: Bleistein, Linus, et al.
Published: (2024)
by: Bleistein, Linus, et al.
Published: (2024)
ModalSurv: Investigating opportunities and limitations of multimodal deep survival learning in prostate and bladder cancer
by: Wahab, Noorul, et al.
Published: (2025)
by: Wahab, Noorul, et al.
Published: (2025)
Marrying Causal Representation Learning with Dynamical Systems for Science
by: Yao, Dingling, et al.
Published: (2024)
by: Yao, Dingling, et al.
Published: (2024)
SurvHive: a package to consistently access multiple survival-analysis packages
by: Birolo, Giovanni, et al.
Published: (2025)
by: Birolo, Giovanni, et al.
Published: (2025)
Bias-Targeted Nonparametric Balancing for Stable Causal Mediation Analysis
by: Liu, Chang, et al.
Published: (2024)
by: Liu, Chang, et al.
Published: (2024)
A Survey of State Representation Learning for Deep Reinforcement Learning
by: Echchahed, Ayoub, et al.
Published: (2025)
by: Echchahed, Ayoub, et al.
Published: (2025)
Counterfactual-based Root Cause Analysis for Dynamical Systems
by: Weilbach, Juliane, et al.
Published: (2024)
by: Weilbach, Juliane, et al.
Published: (2024)
CHASE: A Causal Hypergraph based Framework for Root Cause Analysis in Multimodal Microservice Systems
by: Zhao, Ziming, et al.
Published: (2024)
by: Zhao, Ziming, et al.
Published: (2024)
Root Cause Analysis of Hydrogen Bond Separation in Spatio-Temporal Molecular Dynamics using Causal Models
by: Adesunkanmi, Rahmat K., et al.
Published: (2025)
by: Adesunkanmi, Rahmat K., et al.
Published: (2025)
CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
by: Wu, Chengfeng, et al.
Published: (2026)
by: Wu, Chengfeng, et al.
Published: (2026)
Cause or Trigger? From Philosophy to Causal Modeling
by: Hlaváčková-Schindler, Kateřina, et al.
Published: (2025)
by: Hlaváčková-Schindler, Kateřina, et al.
Published: (2025)
Similar Items
-
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems
by: Abraich, Ayoub
Published: (2025) -
ConSurv: Multimodal Continual Learning for Survival Analysis
by: Yu, Dianzhi, et al.
Published: (2025) -
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
by: Monod, Mélodie, et al.
Published: (2025) -
TorchSurv: A Lightweight Package for Deep Survival Analysis
by: Monod, Mélodie, et al.
Published: (2024) -
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network
by: Ridzuan, Muhammad, et al.
Published: (2024)