Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI
Fuente:
arXiv
Saved in:
| Main Authors: | Löfström, Helena, Löfström, Tuwe, Hjort, Anders, Yapicioglu, Fatima Rabia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models
by: Löfström, Tuwe, et al.
Published: (2024)
by: Löfström, Tuwe, et al.
Published: (2024)
ConformaDecompose: Explaining Uncertainty via Calibration Localization
by: Yapicioglu, Fatima Rabia, et al.
Published: (2026)
by: Yapicioglu, Fatima Rabia, et al.
Published: (2026)
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions
by: Löfström, Helena, et al.
Published: (2024)
by: Löfström, Helena, et al.
Published: (2024)
Calibrated Explanations: with Uncertainty Information and Counterfactuals
by: Lofstrom, Helena, et al.
Published: (2023)
by: Lofstrom, Helena, et al.
Published: (2023)
Calibrated Explanations for Regression
by: Löfström, Tuwe, et al.
Published: (2023)
by: Löfström, Tuwe, et al.
Published: (2023)
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors
by: Szabadváry, Johan Hallberg, et al.
Published: (2024)
by: Szabadváry, Johan Hallberg, et al.
Published: (2024)
On the Definition of Appropriate Trust and the Tools that Come with it
by: Löfström, Helena
Published: (2023)
by: Löfström, Helena
Published: (2023)
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
by: Arsenault, Pierre-Daniel, et al.
Published: (2024)
by: Arsenault, Pierre-Daniel, et al.
Published: (2024)
A Framework for a Future Swedish Policy for Research and Development in Information Science and Technology.
by: Lofstrom, Mats, et al.
Published: (1981)
by: Lofstrom, Mats, et al.
Published: (1981)
Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction
by: Szabadváry, Johan Hallberg, et al.
Published: (2025)
by: Szabadváry, Johan Hallberg, et al.
Published: (2025)
Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators
by: Chiaburu, Teodor, et al.
Published: (2025)
by: Chiaburu, Teodor, et al.
Published: (2025)
UCPO: Uncertainty-Aware Policy Optimization
by: Zeng, Xianzhou, et al.
Published: (2026)
by: Zeng, Xianzhou, et al.
Published: (2026)
Tractable Uncertainty-Aware Meta-Learning
by: Park, Young-Jin, et al.
Published: (2022)
by: Park, Young-Jin, et al.
Published: (2022)
Towards Reliable, Uncertainty-Aware Alignment
by: Banerjee, Debangshu, et al.
Published: (2025)
by: Banerjee, Debangshu, et al.
Published: (2025)
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
by: López, L. Julián Lechuga, et al.
Published: (2025)
by: López, L. Julián Lechuga, et al.
Published: (2025)
Uncertainty Gating for Cost-Aware Explainable Artificial Intelligence
by: Mikriukov, Georgii, et al.
Published: (2026)
by: Mikriukov, Georgii, et al.
Published: (2026)
Bayesian-Symbolic Integration for Uncertainty-Aware Parking Prediction
by: Nezhadettehad, Alireza, et al.
Published: (2026)
by: Nezhadettehad, Alireza, et al.
Published: (2026)
An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction
by: Mustroph, Henryk, et al.
Published: (2025)
by: Mustroph, Henryk, et al.
Published: (2025)
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments
by: Li, Zenan, et al.
Published: (2023)
by: Li, Zenan, et al.
Published: (2023)
Uncertainty-Aware Deep Learning Framework for Remaining Useful Life Prediction in Turbofan Engines with Learned Aleatoric Uncertainty
by: Sharma, Krishang
Published: (2025)
by: Sharma, Krishang
Published: (2025)
Fairness in Reinforcement Learning: A Survey
by: Reuel, Anka, et al.
Published: (2024)
by: Reuel, Anka, et al.
Published: (2024)
Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification
by: Lafage, Adrien, et al.
Published: (2025)
by: Lafage, Adrien, et al.
Published: (2025)
Conceptualizing Uncertainty: A Concept-based Approach to Explaining Uncertainty
by: Roberts, Isaac, et al.
Published: (2025)
by: Roberts, Isaac, et al.
Published: (2025)
Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations
by: Chugh, Sumedha, et al.
Published: (2026)
by: Chugh, Sumedha, et al.
Published: (2026)
Introducing Interval Neural Networks for Uncertainty-Aware System Identification
by: Ferah, Mehmet Ali, et al.
Published: (2025)
by: Ferah, Mehmet Ali, et al.
Published: (2025)
Uncertainty-Aware Reward-Free Exploration with General Function Approximation
by: Zhang, Junkai, et al.
Published: (2024)
by: Zhang, Junkai, et al.
Published: (2024)
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
by: Hu, Zhiyuan, et al.
Published: (2024)
by: Hu, Zhiyuan, et al.
Published: (2024)
Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation
by: Weatherhead, Addison, et al.
Published: (2025)
by: Weatherhead, Addison, et al.
Published: (2025)
Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates
by: Song, Haoze, et al.
Published: (2026)
by: Song, Haoze, et al.
Published: (2026)
Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning
by: Manchingal, Shireen Kudukkil, et al.
Published: (2026)
by: Manchingal, Shireen Kudukkil, et al.
Published: (2026)
Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation
by: Correa, Andrew G. A., et al.
Published: (2025)
by: Correa, Andrew G. A., et al.
Published: (2025)
Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth Analysis
by: Deng, Qianyi, et al.
Published: (2024)
by: Deng, Qianyi, et al.
Published: (2024)
Diffusion-Based Forecasting for Uncertainty-Aware Model Predictive Control
by: Zarifis, Stelios, et al.
Published: (2025)
by: Zarifis, Stelios, et al.
Published: (2025)
Estimation of Concept Explanations Should be Uncertainty Aware
by: Piratla, Vihari, et al.
Published: (2023)
by: Piratla, Vihari, et al.
Published: (2023)
Uncertainty-Aware Decoding with Minimum Bayes Risk
by: Daheim, Nico, et al.
Published: (2025)
by: Daheim, Nico, et al.
Published: (2025)
UncertaintyZoo: A Unified Toolkit for Quantifying Predictive Uncertainty in Deep Learning Systems
by: Wu, Xianzong, et al.
Published: (2025)
by: Wu, Xianzong, et al.
Published: (2025)
CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning
by: Narava, Rahul, et al.
Published: (2026)
by: Narava, Rahul, et al.
Published: (2026)
WIMLE: Uncertainty-Aware World Models with IMLE for Sample-Efficient Continuous Control
by: Aghabozorgi, Mehran, et al.
Published: (2026)
by: Aghabozorgi, Mehran, et al.
Published: (2026)
POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles
by: Menet, Nicolas, et al.
Published: (2026)
by: Menet, Nicolas, et al.
Published: (2026)
Cross-Modal Bayesian Low-Rank Adaptation for Uncertainty-Aware Multimodal Learning
by: Naderi, Habibeh, et al.
Published: (2026)
by: Naderi, Habibeh, et al.
Published: (2026)
Similar Items
-
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models
by: Löfström, Tuwe, et al.
Published: (2024) -
ConformaDecompose: Explaining Uncertainty via Calibration Localization
by: Yapicioglu, Fatima Rabia, et al.
Published: (2026) -
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions
by: Löfström, Helena, et al.
Published: (2024) -
Calibrated Explanations: with Uncertainty Information and Counterfactuals
by: Lofstrom, Helena, et al.
Published: (2023) -
Calibrated Explanations for Regression
by: Löfström, Tuwe, et al.
Published: (2023)