TraCeR: Transformer-Based Competing Risk Analysis with Longitudinal Covariates
Fuente:
arXiv
Saved in:
| Main Authors: | Ries, Maxmillan, Seth, Sohan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback
by: Low, Siow Meng, et al.
Published: (2025)
by: Low, Siow Meng, et al.
Published: (2025)
Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation
by: Gao, Penglei, et al.
Published: (2025)
by: Gao, Penglei, et al.
Published: (2025)
Bayesian Supervised Causal Clustering
by: Wang, Luwei, et al.
Published: (2026)
by: Wang, Luwei, et al.
Published: (2026)
Repeated-Token Counting Reveals a Dissociation Between Representations and Outputs
by: Venkatesh, Sohan
Published: (2026)
by: Venkatesh, Sohan
Published: (2026)
Covariance Scattering Transforms
by: Cavallo, Andrea, et al.
Published: (2025)
by: Cavallo, Andrea, et al.
Published: (2025)
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
by: Liu, Xin, et al.
Published: (2024)
by: Liu, Xin, et al.
Published: (2024)
TraNCE: Transformative Non-linear Concept Explainer for CNNs
by: Akpudo, Ugochukwu Ejike, et al.
Published: (2025)
by: Akpudo, Ugochukwu Ejike, et al.
Published: (2025)
Competing Risks: Impact on Risk Estimation and Algorithmic Fairness
by: Jeanselme, Vincent, et al.
Published: (2025)
by: Jeanselme, Vincent, et al.
Published: (2025)
Deep Survival Analysis in Multimodal Medical Data: A Parametric and Probabilistic Approach with Competing Risks
by: Garrido, Alba, et al.
Published: (2025)
by: Garrido, Alba, et al.
Published: (2025)
Covariance-Aware Transformers for Quadratic Programming and Decision Making
by: Tire, Kutay, et al.
Published: (2026)
by: Tire, Kutay, et al.
Published: (2026)
TRACE: Theoretical Risk Attribution under Covariate-shift Effects
by: Anjidani, Hosein, et al.
Published: (2026)
by: Anjidani, Hosein, et al.
Published: (2026)
HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration
by: Dhingra, Pratyush, et al.
Published: (2024)
by: Dhingra, Pratyush, et al.
Published: (2024)
On the Non-Identifiability of Steering Vectors in Large Language Models
by: Venkatesh, Sohan, et al.
Published: (2026)
by: Venkatesh, Sohan, et al.
Published: (2026)
Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease
by: Spooner, Annette, et al.
Published: (2022)
by: Spooner, Annette, et al.
Published: (2022)
PyDTS: A Python Package for Discrete-Time Survival Analysis with Competing Risks and Optional Penalization
by: Meir, Tomer, et al.
Published: (2022)
by: Meir, Tomer, et al.
Published: (2022)
TraM : Enhancing User Sleep Prediction with Transformer-based Multivariate Time Series Modeling and Machine Learning Ensembles
by: Kim, Jinjae, et al.
Published: (2024)
by: Kim, Jinjae, et al.
Published: (2024)
TraCE: Trajectory Counterfactual Explanation Scores
by: Clark, Jeffrey N., et al.
Published: (2023)
by: Clark, Jeffrey N., et al.
Published: (2023)
TeMP-TraG: Edge-based Temporal Message Passing in Transaction Graphs
by: Gounoue, Steve, et al.
Published: (2025)
by: Gounoue, Steve, et al.
Published: (2025)
Discrete-time Competing-Risks Regression with or without Penalization
by: Meir, Tomer, et al.
Published: (2023)
by: Meir, Tomer, et al.
Published: (2023)
Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
by: Chihara, Naoki, et al.
Published: (2026)
by: Chihara, Naoki, et al.
Published: (2026)
Longitudinal Wrist PPG Analysis for Reliable Hypertension Risk Screening Using Deep Learning
by: Lin, Hui, et al.
Published: (2024)
by: Lin, Hui, et al.
Published: (2024)
CITRAS: Covariate-Informed Transformer for Time Series Forecasting
by: Yamaguchi, Yosuke, et al.
Published: (2025)
by: Yamaguchi, Yosuke, et al.
Published: (2025)
Longitudinal Risk Prediction in Mammography with Privileged History Distillation
by: Karimian, Banafsheh, et al.
Published: (2026)
by: Karimian, Banafsheh, et al.
Published: (2026)
CRISP-NAM: Competing Risks Interpretable Survival Prediction with Neural Additive Models
by: Ramachandram, Dhanesh, et al.
Published: (2025)
by: Ramachandram, Dhanesh, et al.
Published: (2025)
TraSCE: Trajectory Steering for Concept Erasure
by: Jain, Anubhav, et al.
Published: (2024)
by: Jain, Anubhav, et al.
Published: (2024)
Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
by: Wu, Guang, et al.
Published: (2024)
by: Wu, Guang, et al.
Published: (2024)
Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
by: Yin, Xiaohui, et al.
Published: (2026)
by: Yin, Xiaohui, et al.
Published: (2026)
Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model
by: Li, Hua, et al.
Published: (2022)
by: Li, Hua, et al.
Published: (2022)
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
by: Fujikawa, Mitsuhiro, et al.
Published: (2024)
by: Fujikawa, Mitsuhiro, et al.
Published: (2024)
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
by: Yang, Shenzhi, et al.
Published: (2025)
by: Yang, Shenzhi, et al.
Published: (2025)
Transformer-based CoVaR: Systemic Risk in Textual Information
by: Chen, Junyu, et al.
Published: (2026)
by: Chen, Junyu, et al.
Published: (2026)
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
by: Brown, Gavin, et al.
Published: (2021)
by: Brown, Gavin, et al.
Published: (2021)
Deep Kernel Aalen-Johansen Estimator: An Interpretable and Flexible Neural Net Framework for Competing Risks
by: Shen, Xiaobin, et al.
Published: (2025)
by: Shen, Xiaobin, et al.
Published: (2025)
Risk Horizons: Structured Hypothesis Spaces for Longitudinal Clinical Prediction
by: Qu, Zhan, et al.
Published: (2026)
by: Qu, Zhan, et al.
Published: (2026)
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
by: Alberge, Julie, et al.
Published: (2024)
by: Alberge, Julie, et al.
Published: (2024)
Analysis of Robustness of a Large Game Corpus
by: Bazzaz, Mahsa, et al.
Published: (2025)
by: Bazzaz, Mahsa, et al.
Published: (2025)
An Explainable Pipeline for Machine Learning with Functional Data
by: Goode, Katherine, et al.
Published: (2025)
by: Goode, Katherine, et al.
Published: (2025)
Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration
by: Parthasarathy, Adithya, et al.
Published: (2026)
by: Parthasarathy, Adithya, et al.
Published: (2026)
Deep Learning of Semi-Competing Risk Data via a New Neural Expectation-Maximization Algorithm
by: Salerno, Stephen, et al.
Published: (2022)
by: Salerno, Stephen, et al.
Published: (2022)
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training
by: Li, Li, et al.
Published: (2024)
by: Li, Li, et al.
Published: (2024)
Similar Items
-
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback
by: Low, Siow Meng, et al.
Published: (2025) -
Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation
by: Gao, Penglei, et al.
Published: (2025) -
Bayesian Supervised Causal Clustering
by: Wang, Luwei, et al.
Published: (2026) -
Repeated-Token Counting Reveals a Dissociation Between Representations and Outputs
by: Venkatesh, Sohan
Published: (2026) -
Covariance Scattering Transforms
by: Cavallo, Andrea, et al.
Published: (2025)