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Uncertainty Quantification

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TitleStatusHype
α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction—0
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion—0
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning—0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Accelerating Ensemble Error Bar Prediction with Single Models Fits—0
Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation—0
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere—0
Extracting Dynamical Models from Data—0
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification—0
Functional Bayesian Neural Networks for Model Uncertainty Quantification—0
Extending the Scope of Inference About Predictive Ability to Machine Learning Methods—0
Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data—0
Functional SDE approximation inspired by a deep operator network architecture—0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions—0
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks—0
Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach—0
Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes—0
Function-Space Variational Inference for Deep Bayesian Classification—0
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review—0
Fuzzy finite element model updating using metaheuristic optimization algorithms—0
Exponential Convergence of CAVI for Bayesian PCA—0
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging—0
Gamifying optimization: a Wasserstein distance-based analysis of human search—0
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification—0
Gaussian Differential Private Bootstrap by Subsampling—0
Gaussian Experts Selection using Graphical Models—0
Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation—0
Gaussian processes for dynamics learning in model predictive control—0
Gaussian Processes in Power Systems: Techniques, Applications, and Future Works—0
Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review—0
Gaussian process interpolation with conformal prediction: methods and comparative analysis—0
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior—0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness—0
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks—0
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs—0
Characterising User Transfer Amid Industrial Resource Variation: A Bayesian Nonparametric Approach—0
Experiment Design with Gaussian Process Regression with Applications to Chance-Constrained Control—0
Data-centric challenges with the application and adoption of artificial intelligence for drug discovery—0
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy—0
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications—0
A generative foundation model for an all-in-one seismic processing framework—0
A Critical Analysis of Internal Reliability for Uncertainty Quantification of Dense Image Matching in Multi-view Stereo—0
Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels—0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
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