Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Fuente:
arXiv
Guardado en:
| Autores principales: | Hoarau, Arthur, Quost, Benjamin, Destercke, Sébastien, Waegeman, Willem |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI
por: Zhu, Chenrui, et al.
Publicado: (2025)
por: Zhu, Chenrui, et al.
Publicado: (2025)
Rethinking Aleatoric and Epistemic Uncertainty
por: Smith, Freddie Bickford, et al.
Publicado: (2024)
por: Smith, Freddie Bickford, et al.
Publicado: (2024)
Position: Epistemic uncertainty estimation methods are fundamentally incomplete
por: Jiménez, Sebastián, et al.
Publicado: (2025)
por: Jiménez, Sebastián, et al.
Publicado: (2025)
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
por: Jürgens, Mira, et al.
Publicado: (2024)
por: Jürgens, Mira, et al.
Publicado: (2024)
Label-wise Aleatoric and Epistemic Uncertainty Quantification
por: Sale, Yusuf, et al.
Publicado: (2024)
por: Sale, Yusuf, et al.
Publicado: (2024)
Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification through Binary Reduction
por: Haas, Stefan, et al.
Publicado: (2025)
por: Haas, Stefan, et al.
Publicado: (2025)
Optimal Conformal Prediction under Epistemic Uncertainty
por: Javanmardi, Alireza, et al.
Publicado: (2025)
por: Javanmardi, Alireza, et al.
Publicado: (2025)
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
por: Hofman, Paul, et al.
Publicado: (2024)
por: Hofman, Paul, et al.
Publicado: (2024)
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
por: Hoarau, Arthur, et al.
Publicado: (2024)
por: Hoarau, Arthur, et al.
Publicado: (2024)
JUCAL: Jointly Calibrating Aleatoric and Epistemic Uncertainty in Classification Tasks
por: Heiss, Jakob, et al.
Publicado: (2026)
por: Heiss, Jakob, et al.
Publicado: (2026)
Estimating Epistemic and Aleatoric Uncertainty with a Single Model
por: Chan, Matthew A., et al.
Publicado: (2024)
por: Chan, Matthew A., et al.
Publicado: (2024)
Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction
por: Rakhshaninejad, Morteza, et al.
Publicado: (2025)
por: Rakhshaninejad, Morteza, et al.
Publicado: (2025)
Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties
por: Yi, Jiaxiang, et al.
Publicado: (2025)
por: Yi, Jiaxiang, et al.
Publicado: (2025)
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence
por: Wang, Tianyang, et al.
Publicado: (2025)
por: Wang, Tianyang, et al.
Publicado: (2025)
Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty
por: Mukherjee, Tanmoy, et al.
Publicado: (2026)
por: Mukherjee, Tanmoy, et al.
Publicado: (2026)
Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks
por: Ibragimova, Regina, et al.
Publicado: (2024)
por: Ibragimova, Regina, et al.
Publicado: (2024)
Variational LSTM with Augmented Inputs: Nonlinear Response History Metamodeling with Aleatoric and Epistemic Uncertainty
por: Sapkota, Manisha, et al.
Publicado: (2026)
por: Sapkota, Manisha, et al.
Publicado: (2026)
A Posterior-Predictive Variance Decomposition for Epistemic and Aleatoric Uncertainty in Wind Power Forecasting
por: Chen, Yinsong, et al.
Publicado: (2026)
por: Chen, Yinsong, et al.
Publicado: (2026)
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
por: Van Katwyk, Peter, et al.
Publicado: (2025)
por: Van Katwyk, Peter, et al.
Publicado: (2025)
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty
por: Faulwasser, T., et al.
Publicado: (2023)
por: Faulwasser, T., et al.
Publicado: (2023)
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
por: Azizi, Ilia, et al.
Publicado: (2025)
por: Azizi, Ilia, et al.
Publicado: (2025)
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs
por: Valdettaro, Filippo, et al.
Publicado: (2024)
por: Valdettaro, Filippo, et al.
Publicado: (2024)
Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation
por: Kumar, Divake, et al.
Publicado: (2025)
por: Kumar, Divake, et al.
Publicado: (2025)
Assessment of Uncertainty Quantification in Universal Differential Equations
por: Schmid, Nina, et al.
Publicado: (2024)
por: Schmid, Nina, et al.
Publicado: (2024)
CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model
por: Xu, Xinran, et al.
Publicado: (2026)
por: Xu, Xinran, et al.
Publicado: (2026)
Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics
por: Ramirez, Ibai, et al.
Publicado: (2026)
por: Ramirez, Ibai, et al.
Publicado: (2026)
Conditional validity of heteroskedastic conformal regression
por: Dewolf, Nicolas, et al.
Publicado: (2023)
por: Dewolf, Nicolas, et al.
Publicado: (2023)
Valid prediction intervals for regression problems
por: Dewolf, Nicolas, et al.
Publicado: (2021)
por: Dewolf, Nicolas, et al.
Publicado: (2021)
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
por: Zhao, Zhizhong, et al.
Publicado: (2025)
por: Zhao, Zhizhong, et al.
Publicado: (2025)
Real-Time Structural Health Monitoring with Bayesian Neural Networks: Distinguishing Aleatoric and Epistemic Uncertainty for Digital Twin Frameworks
por: Cho, Hanbin, et al.
Publicado: (2025)
por: Cho, Hanbin, et al.
Publicado: (2025)
Identifying Drivers of Predictive Aleatoric Uncertainty
por: Iversen, Pascal, et al.
Publicado: (2023)
por: Iversen, Pascal, et al.
Publicado: (2023)
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
por: Wang, Hao, et al.
Publicado: (2023)
por: Wang, Hao, et al.
Publicado: (2023)
Probabilistic Circuits with Constraints via Convex Optimization
por: Ghandi, Soroush, et al.
Publicado: (2024)
por: Ghandi, Soroush, et al.
Publicado: (2024)
Soft Learning Probabilistic Circuits
por: Ghandi, Soroush, et al.
Publicado: (2024)
por: Ghandi, Soroush, et al.
Publicado: (2024)
Upper Entropy for 2-Monotone Lower Probabilities
por: Vu, Tuan-Anh, et al.
Publicado: (2026)
por: Vu, Tuan-Anh, et al.
Publicado: (2026)
CLAPS: Aleatoric-Epistemic Scaling via Last-Layer Laplace for Conformal Regression
por: Kim, Dongseok, et al.
Publicado: (2025)
por: Kim, Dongseok, et al.
Publicado: (2025)
Decoupled PFNs: Identifiable Epistemic-Aleatoric Decomposition via Structured Synthetic Priors
por: Bergna, Richard, et al.
Publicado: (2026)
por: Bergna, Richard, et al.
Publicado: (2026)
Estimating Aleatoric Uncertainty in the Causal Treatment Effect
por: Xu, Liyuan, et al.
Publicado: (2026)
por: Xu, Liyuan, et al.
Publicado: (2026)
An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models
por: Khan, Falaah Arif, et al.
Publicado: (2023)
por: Khan, Falaah Arif, et al.
Publicado: (2023)
Guaranteed prediction sets for functional surrogate models
por: Gray, Ander, et al.
Publicado: (2025)
por: Gray, Ander, et al.
Publicado: (2025)
Ejemplares similares
-
Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI
por: Zhu, Chenrui, et al.
Publicado: (2025) -
Rethinking Aleatoric and Epistemic Uncertainty
por: Smith, Freddie Bickford, et al.
Publicado: (2024) -
Position: Epistemic uncertainty estimation methods are fundamentally incomplete
por: Jiménez, Sebastián, et al.
Publicado: (2025) -
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
por: Jürgens, Mira, et al.
Publicado: (2024) -
Label-wise Aleatoric and Epistemic Uncertainty Quantification
por: Sale, Yusuf, et al.
Publicado: (2024)