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Uncertainty Quantification

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TitleStatusHype
Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical SimulationsCode1
Adaptability of Computer Vision at the Tactical Edge: Addressing Environmental Uncertainty—0
Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imagingCode1
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher InformationCode2
A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth—0
B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions—0
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning—0
Bayesian Neural Networks for 2D MRI Segmentation—0
Measurement Error and Counterfactuals in Quantitative Trade and Spatial Models—0
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception—0
Grad-Shafranov equilibria via data-free physics informed neural networks—0
Deep State-Space Model for Predicting Cryptocurrency Price—0
PINNs-Based Uncertainty Quantification for Transient Stability Analysis—0
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion—0
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators—0
Max-Rank: Efficient Multiple Testing for Conformal Prediction—0
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review—0
Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for ScienceCode0
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming NaturalnessCode0
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationCode0
Human-in-the-loop: Towards Label Embeddings for Measuring Classification DifficultyCode0
Decomposing Uncertainty for Large Language Models through Input Clarification EnsemblingCode1
Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent ProcessesCode0
Frequentist Guarantees of Distributed (Non)-Bayesian Inference—0
Feedforward neural networks as statistical models: Improving interpretability through uncertainty quantification—0
Uncertainty Quantification in Neural-Network Based Pain Intensity Estimation—0
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process—0
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning—0
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road AutonomyCode2
Early-Exit Neural Networks with Nested Prediction Sets—0
Improvements on Uncertainty Quantification for Node Classification via Distance-Based RegularizationCode0
Perfecting Liquid-State Theories with Machine Intelligence—0
Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice—0
Evaluating Uncertainty Quantification approaches for Neural PDEs in scientific applications—0
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksCode0
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Neural SPDE solver for uncertainty quantification in high-dimensional space-time dynamics—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
Reproducible Parameter Inference Using Bagged Posteriors—0
Local Bayesian Dirichlet mixing of imperfect models—0
On Gaussian Process Priors in Conditional Moment Restriction Models—0
Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures—0
Uncertainty quantification and out-of-distribution detection using surjective normalizing flowsCode0
Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty—0
An Embedded Diachronic Sense Change Model with a Case Study from Ancient GreekCode0
Robust and Conjugate Gaussian Process RegressionCode0
Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios—0
Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows—0
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