CohEx: A Generalized Framework for Cohort Explanation
Fuente:
arXiv
Guardado en:
| Autores principales: | Meng, Fanyu, Liu, Xin, Kong, Zhaodan, Chen, Xin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation
por: Meng, Fanyu, et al.
Publicado: (2024)
por: Meng, Fanyu, et al.
Publicado: (2024)
Implet: A Post-hoc Subsequence Explainer for Time Series Models
por: Meng, Fanyu, et al.
Publicado: (2025)
por: Meng, Fanyu, et al.
Publicado: (2025)
Explanation Space: A New Perspective into Time Series Interpretability
por: Rezaei, Shahbaz, et al.
Publicado: (2024)
por: Rezaei, Shahbaz, et al.
Publicado: (2024)
Seismic Acoustic Impedance Inversion Framework Based on Conditional Latent Generative Diffusion Model
por: Chen, Jie, et al.
Publicado: (2025)
por: Chen, Jie, et al.
Publicado: (2025)
ExPath: Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
por: Kotoge, Rikuto, et al.
Publicado: (2025)
por: Kotoge, Rikuto, et al.
Publicado: (2025)
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
por: Wang, Rushan, et al.
Publicado: (2024)
por: Wang, Rushan, et al.
Publicado: (2024)
Towards a Unified Framework for Evaluating Explanations
por: Pinto, Juan D., et al.
Publicado: (2024)
por: Pinto, Juan D., et al.
Publicado: (2024)
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations
por: Tan, Zhen, et al.
Publicado: (2025)
por: Tan, Zhen, et al.
Publicado: (2025)
SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis
por: Chen, Qian, et al.
Publicado: (2025)
por: Chen, Qian, et al.
Publicado: (2025)
GCFX: Generative Counterfactual Explanations for Deep Graph Models at the Model Level
por: Hu, Jinlong, et al.
Publicado: (2026)
por: Hu, Jinlong, et al.
Publicado: (2026)
ExECG: An Explainable AI Framework for ECG models
por: Jang, Jong-Hwan, et al.
Publicado: (2026)
por: Jang, Jong-Hwan, et al.
Publicado: (2026)
Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs
por: Bai, Sen, et al.
Publicado: (2025)
por: Bai, Sen, et al.
Publicado: (2025)
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
por: Zhang, Jiaxing, et al.
Publicado: (2025)
por: Zhang, Jiaxing, et al.
Publicado: (2025)
Generating Counterfactual Explanations Using Cardinality Constraints
por: Ruiz-Torrubiano, Rubén
Publicado: (2024)
por: Ruiz-Torrubiano, Rubén
Publicado: (2024)
Robust Stochastic Graph Generator for Counterfactual Explanations
por: Prado-Romero, Mario Alfonso, et al.
Publicado: (2023)
por: Prado-Romero, Mario Alfonso, et al.
Publicado: (2023)
RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations
por: Arefeen, Asiful, et al.
Publicado: (2025)
por: Arefeen, Asiful, et al.
Publicado: (2025)
Explanation-Guided Adversarial Training for Robust and Interpretable Models
por: Chen, Chao, et al.
Publicado: (2026)
por: Chen, Chao, et al.
Publicado: (2026)
Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models
por: Li, Fengzhi, et al.
Publicado: (2026)
por: Li, Fengzhi, et al.
Publicado: (2026)
Rethinking Refinement: Correcting Generative Bias without Noise Injection
por: Peng, Xin, et al.
Publicado: (2026)
por: Peng, Xin, et al.
Publicado: (2026)
Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
por: Liu, Siyuan, et al.
Publicado: (2025)
por: Liu, Siyuan, et al.
Publicado: (2025)
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
por: Chen, Huiqiang, et al.
Publicado: (2025)
por: Chen, Huiqiang, et al.
Publicado: (2025)
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
por: Liu, Xin, et al.
Publicado: (2024)
por: Liu, Xin, et al.
Publicado: (2024)
Flexible Counterfactual Explanations with Generative Models
por: Hellemans, Stig, et al.
Publicado: (2025)
por: Hellemans, Stig, et al.
Publicado: (2025)
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
por: Liu, Yongshuai, et al.
Publicado: (2025)
por: Liu, Yongshuai, et al.
Publicado: (2025)
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning
por: Liu, Yongshuai, et al.
Publicado: (2025)
por: Liu, Yongshuai, et al.
Publicado: (2025)
Integrating Knowledge Distillation Methods: A Sequential Multi-Stage Framework
por: Tian, Yinxi, et al.
Publicado: (2026)
por: Tian, Yinxi, et al.
Publicado: (2026)
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
por: Wang, Xiaoqi, et al.
Publicado: (2022)
por: Wang, Xiaoqi, et al.
Publicado: (2022)
Provable Robust Saliency-based Explanations
por: Chen, Chao, et al.
Publicado: (2022)
por: Chen, Chao, et al.
Publicado: (2022)
A Novel Multimodal RUL Framework for Remaining Useful Life Estimation with Layer-wise Explanations
por: Razzaq, Waleed, et al.
Publicado: (2025)
por: Razzaq, Waleed, et al.
Publicado: (2025)
DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations
por: Guo, Yuhan, et al.
Publicado: (2025)
por: Guo, Yuhan, et al.
Publicado: (2025)
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
por: Fatemi, Pouria, et al.
Publicado: (2025)
por: Fatemi, Pouria, et al.
Publicado: (2025)
A Federated Learning Framework for Handling Subtype Confounding and Heterogeneity in Large-Scale Neuroimaging Diagnosis
por: Zhao, Xinglin, et al.
Publicado: (2025)
por: Zhao, Xinglin, et al.
Publicado: (2025)
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
por: Chen, Siyuan, et al.
Publicado: (2024)
por: Chen, Siyuan, et al.
Publicado: (2024)
Explanations are a Means to an End: Decision Theoretic Explanation Evaluation
por: Guo, Ziyang, et al.
Publicado: (2025)
por: Guo, Ziyang, et al.
Publicado: (2025)
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
por: Kim, Seongun, et al.
Publicado: (2025)
por: Kim, Seongun, et al.
Publicado: (2025)
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
por: Duell, Jamie, et al.
Publicado: (2024)
por: Duell, Jamie, et al.
Publicado: (2024)
LLM-Generated Explanations Do Not Suffice for Ultra-Strong Machine Learning
por: Ai, Lun, et al.
Publicado: (2025)
por: Ai, Lun, et al.
Publicado: (2025)
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning
por: Chen, Yanda, et al.
Publicado: (2024)
por: Chen, Yanda, et al.
Publicado: (2024)
Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening
por: Wang, Xin, et al.
Publicado: (2025)
por: Wang, Xin, et al.
Publicado: (2025)
The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation
por: Zhang, Jiaheng, et al.
Publicado: (2025)
por: Zhang, Jiaheng, et al.
Publicado: (2025)
Ejemplares similares
-
Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation
por: Meng, Fanyu, et al.
Publicado: (2024) -
Implet: A Post-hoc Subsequence Explainer for Time Series Models
por: Meng, Fanyu, et al.
Publicado: (2025) -
Explanation Space: A New Perspective into Time Series Interpretability
por: Rezaei, Shahbaz, et al.
Publicado: (2024) -
Seismic Acoustic Impedance Inversion Framework Based on Conditional Latent Generative Diffusion Model
por: Chen, Jie, et al.
Publicado: (2025) -
ExPath: Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
por: Kotoge, Rikuto, et al.
Publicado: (2025)