Imagen de Portada

Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Valdenegro-Toro, Matias, de Jong, Ivo Pascal, Zullich, Marco
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
por: Valdenegro-Toro, Matias, et al.
Publicado: (2025)

Uncertainty in Semantic Language Modeling with PIXELS
por: Radu, Stefania, et al.
Publicado: (2025)

Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models
por: Borszukovszki, Mirko, et al.
Publicado: (2025)

Measuring Orthogonality as the Blind-Spot of Uncertainty Disentanglement
por: de Jong, Ivo Pascal, et al.
Publicado: (2024)

Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
por: de Jong, Ivo Pascal, et al.
Publicado: (2023)

Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning
por: Suurmeijer, Joris, et al.
Publicado: (2025)

Uncertainty Quantification for cross-subject Motor Imagery classification
por: Manivannan, Prithviraj, et al.
Publicado: (2024)

Sanity Checks for Explanation Uncertainty
por: Valdenegro-Toro, Matias, et al.
Publicado: (2024)

Uncertainty Quantification for Gradient-based Explanations in Neural Networks
por: Mulye, Mihir, et al.
Publicado: (2024)

Uncertainty Estimation for Super-Resolution using ESRGAN
por: Adapa, Maniraj Sai, et al.
Publicado: (2024)

Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models
por: Groot, Tobias, et al.
Publicado: (2024)

Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty
por: Tešnar, Michal, et al.
Publicado: (2025)

The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs
por: Mulder, Merlijn Quincent, et al.
Publicado: (2026)

Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data
por: Álvarez, Mariela De Lucas, et al.
Publicado: (2024)

No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions
por: Schiller, Emily, et al.
Publicado: (2026)

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
por: Brouwer, Eric, et al.
Publicado: (2024)

Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
por: Bruegger, Josh, et al.
Publicado: (2025)

Transferring BCI models from calibration to control: Observing shifts in EEG features
por: de Jong, Ivo Pascal, et al.
Publicado: (2024)

Forecasting Smog Clouds With Deep Learning
por: Oldenburg, Valentijn, et al.
Publicado: (2024)

Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction
por: Miranda, Miro, et al.
Publicado: (2025)

The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act
por: Valdenegro-Toro, Matias, et al.
Publicado: (2024)

Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
por: Zanger, Moritz A., et al.
Publicado: (2025)

Riemannian Geometry-Preserving Variational Autoencoder for MI-BCI Data Augmentation
por: Poļaka, Viktorija, et al.
Publicado: (2026)

Unified Uncertainty Calibration
por: Chaudhuri, Kamalika, et al.
Publicado: (2023)

Adaptive Planning with Generative Models under Uncertainty
por: Jutras-Dubé, Pascal, et al.
Publicado: (2024)

A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
por: Abdelrahman, Ahmed Faisal, et al.
Publicado: (2024)

Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data
por: de Jonge, Sterre, et al.
Publicado: (2026)

Upside-Down Reinforcement Learning for More Interpretable Optimal Control
por: Cardenas-Cartagena, Juan, et al.
Publicado: (2024)

Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
por: Luo, Hengrui, et al.
Publicado: (2026)

Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
por: Liu, Kaizhao, et al.
Publicado: (2024)

The Marine Debris Forward-Looking Sonar Datasets
por: Valdenegro-Toro, Matias, et al.
Publicado: (2025)

Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation
por: Tashu, Tsegaye Misikir, et al.
Publicado: (2024)

Identifying Drivers of Predictive Aleatoric Uncertainty
por: Iversen, Pascal, et al.
Publicado: (2023)

Unified Uncertainty Estimation for Cognitive Diagnosis Models
por: Wang, Fei, et al.
Publicado: (2024)

Uncertainty-Aware Foundation Models for Clinical Data
por: Zhou, Qian, et al.
Publicado: (2026)

Uncertainty Quantification for Machine Learning-Based Prediction: A Polynomial Chaos Expansion Approach for Joint Model and Input Uncertainty Propagation
por: Du, Xiaoping
Publicado: (2025)

Confidence Calibration in Large Language Model-Based Entity Matching
por: Kamsteeg, Iris, et al.
Publicado: (2025)

Epistemic Uncertainty in Conformal Scores: A Unified Approach
por: Cabezas, Luben M. C., et al.
Publicado: (2025)

UncertaintyZoo: A Unified Toolkit for Quantifying Predictive Uncertainty in Deep Learning Systems
por: Wu, Xianzong, et al.
Publicado: (2025)

Estimating Epistemic and Aleatoric Uncertainty with a Single Model
por: Chan, Matthew A., et al.
Publicado: (2024)