GRAFT: Decoupling Ranking and Calibration for Survival Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Ashhad, Mohammad, Hoehndorf, Robert, Henao, Ricardo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generating Accurate Synthetic Survival Data by Conditioning on Outcomes
by: Ashhad, Mohd, et al.
Published: (2024)
by: Ashhad, Mohd, et al.
Published: (2024)
Fully Geometric Multi-Hop Reasoning on Knowledge Graphs with Transitive Relations
by: Zhapa-Camacho, Fernando, et al.
Published: (2025)
by: Zhapa-Camacho, Fernando, et al.
Published: (2025)
GRAFT: Gradient-Aware Fast MaxVol Technique for Dynamic Data Sampling
by: Jha, Ashish, et al.
Published: (2025)
by: Jha, Ashish, et al.
Published: (2025)
SIDEKICK: A Semantically Integrated Resource for Drug Effects, Indications, and Contraindications
by: Ashhad, Mohammad, et al.
Published: (2025)
by: Ashhad, Mohammad, et al.
Published: (2025)
Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models
by: Jain, Anchit, et al.
Published: (2026)
by: Jain, Anchit, et al.
Published: (2026)
Toward Conditional Distribution Calibration in Survival Prediction
by: Qi, Shi-ang, et al.
Published: (2024)
by: Qi, Shi-ang, et al.
Published: (2024)
The Illusion of Certainty: Decoupling Capability and Calibration in On-Policy Distillation
by: Zhang, Jiaxin, et al.
Published: (2026)
by: Zhang, Jiaxin, et al.
Published: (2026)
GRAFT: GRaPH and Table Reasoning for Textual Alignment -- A Benchmark for Structured Instruction Following and Visual Reasoning
by: Verma, Abhigya, et al.
Published: (2025)
by: Verma, Abhigya, et al.
Published: (2025)
Calibrated Preference Learning: The Case of Label Ranking
by: Thies, Santo M. A. R., et al.
Published: (2026)
by: Thies, Santo M. A. R., et al.
Published: (2026)
SCATR: Simple Calibrated Test-Time Ranking
by: Shyamal, Divya, et al.
Published: (2026)
by: Shyamal, Divya, et al.
Published: (2026)
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
by: Qi, Shi-ang, et al.
Published: (2024)
by: Qi, Shi-ang, et al.
Published: (2024)
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition
by: Wu, Xinghao, et al.
Published: (2024)
by: Wu, Xinghao, et al.
Published: (2024)
Decoupled Entity Representation Learning for Pinterest Ads Ranking
by: Liu, Jie, et al.
Published: (2025)
by: Liu, Jie, et al.
Published: (2025)
Uncertainty in Language Models: Assessment through Rank-Calibration
by: Huang, Xinmeng, et al.
Published: (2024)
by: Huang, Xinmeng, et al.
Published: (2024)
Predicting the Lifespan of Industrial Printheads with Survival Analysis
by: Parii, Dan, et al.
Published: (2025)
by: Parii, Dan, et al.
Published: (2025)
Good Rankings, Wrong Probabilities: A Calibration Audit of Multimodal Cancer Survival Models
by: Ghawami, Sajad
Published: (2026)
by: Ghawami, Sajad
Published: (2026)
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)
by: Ma, Zhengzhao, et al.
Published: (2026)
Causal Fairness for Survival Analysis
by: Plecko, Drago
Published: (2026)
by: Plecko, Drago
Published: (2026)
Survival Analysis with Adversarial Regularization
by: Potter, Michael, et al.
Published: (2023)
by: Potter, Michael, et al.
Published: (2023)
SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis
by: Kirpichenko, Stanislav R., et al.
Published: (2026)
by: Kirpichenko, Stanislav R., et al.
Published: (2026)
ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration
by: Yan, Xianglong, et al.
Published: (2025)
by: Yan, Xianglong, 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)
Automated and Interpretable Survival Analysis from Multimodal Data
by: Malafaia, Mafalda, et al.
Published: (2025)
by: Malafaia, Mafalda, et al.
Published: (2025)
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
by: Archetti, Alberto, et al.
Published: (2024)
by: Archetti, Alberto, et al.
Published: (2024)
Multimodal Survival Analysis with Locally Deployable Large Language Models
by: Gögl, Moritz, et al.
Published: (2026)
by: Gögl, Moritz, et al.
Published: (2026)
Dual Mixture-of-Experts Framework for Discrete-Time Survival Analysis
by: Lee, Hyeonjun, et al.
Published: (2025)
by: Lee, Hyeonjun, et al.
Published: (2025)
Adaptive Transformer Modelling of Density Function for Nonparametric Survival Analysis
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
Low-Rank Tensor Decompositions for the Theory of Neural Networks
by: Borsoi, Ricardo, et al.
Published: (2025)
by: Borsoi, Ricardo, et al.
Published: (2025)
Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques
by: Park, Yoon Tae, et al.
Published: (2024)
by: Park, Yoon Tae, et al.
Published: (2024)
Train-before-Test Harmonizes Language Model Rankings
by: Zhang, Guanhua, et al.
Published: (2025)
by: Zhang, Guanhua, et al.
Published: (2025)
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis
by: Logothetis, Stelios Boulitsakis, et al.
Published: (2026)
by: Logothetis, Stelios Boulitsakis, et al.
Published: (2026)
TabSurv: Adapting Modern Tabular Neural Networks to Survival Analysis
by: Kirpichenko, Stanislav, et al.
Published: (2026)
by: Kirpichenko, Stanislav, et al.
Published: (2026)
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis
by: Zhang, Liwen, et al.
Published: (2024)
by: Zhang, Liwen, et al.
Published: (2024)
Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis
by: Chen, Tianhua
Published: (2025)
by: Chen, Tianhua
Published: (2025)
SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs
by: Wang, Sijia, et al.
Published: (2026)
by: Wang, Sijia, et al.
Published: (2026)
KANFormer for Predicting Fill Probabilities via Survival Analysis in Limit Order Books
by: Zhong, Jinfeng, et al.
Published: (2025)
by: Zhong, Jinfeng, et al.
Published: (2025)
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)
Fairness in Survival Analysis: A Novel Conditional Mutual Information Augmentation Approach
by: Xie, Tianyang, et al.
Published: (2025)
by: Xie, Tianyang, et al.
Published: (2025)
Automatic Calibration for Membership Inference Attack on Large Language Models
by: Zade, Saleh Zare, et al.
Published: (2025)
by: Zade, Saleh Zare, et al.
Published: (2025)
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
by: Mozaffari, Mohammad, et al.
Published: (2024)
by: Mozaffari, Mohammad, et al.
Published: (2024)
Similar Items
-
Generating Accurate Synthetic Survival Data by Conditioning on Outcomes
by: Ashhad, Mohd, et al.
Published: (2024) -
Fully Geometric Multi-Hop Reasoning on Knowledge Graphs with Transitive Relations
by: Zhapa-Camacho, Fernando, et al.
Published: (2025) -
GRAFT: Gradient-Aware Fast MaxVol Technique for Dynamic Data Sampling
by: Jha, Ashish, et al.
Published: (2025) -
SIDEKICK: A Semantically Integrated Resource for Drug Effects, Indications, and Contraindications
by: Ashhad, Mohammad, et al.
Published: (2025) -
Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models
by: Jain, Anchit, et al.
Published: (2026)