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Uncertainty Quantification

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TitleStatusHype
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems—0
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification—0
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification—0
An AI-powered Bayesian generative modeling approach for causal inference in observational studies—0
An Algorithm for Sensor Data Uncertainty Quantification—0
Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation—0
Analysis, forecasting and system identification of a floating offshore wind turbine using dynamic mode decomposition—0
Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learning—0
Analytical results for uncertainty propagation through trained machine learning regression models—0
Analytic Mutual Information in Bayesian Neural Networks—0
An asymptotic analysis of distributed nonparametric methods—0
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression—0
An Efficient and Uncertainty-aware Reinforcement Learning Framework for Quality Assurance in Extrusion Additive Manufacturing—0
An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds—0
An Ensemble Quadratic Echo State Network for Nonlinear Spatio-Temporal Forecasting—0
A neural multilevel method for high-dimensional parametric PDEs—0
A New PHO-rmula for Improved Performance of Semi-Structured Networks—0
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification—0
Anomaly Detection using Ensemble Classification and Evidence Theory—0
A Note on Uncertainty Quantification for Maximum Likelihood Parameters Estimated with Heuristic Based Optimization Algorithms—0
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty—0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis—0
A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward Model—0
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC—0
A Novel Deep Learning Approach for Emulating Computationally Expensive Postfire Debris Flows—0
Incremental Value and Interpretability of Radiomics Features of Both Lung and Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection—0
An Overview of Large Language Models for Statisticians—0
An Overview of Uncertainty Quantification Methods for Infinite Neural Networks—0
Antithetic Noise in Diffusion Models—0
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products—0
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring—0
An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification—0
Early-Exit Neural Networks with Nested Prediction Sets—0
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
A Perspective on Gaussian Processes for Earth Observation—0
A Planning Framework for Adaptive Labeling—0
Max-Rank: Efficient Multiple Testing for Conformal Prediction—0
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry—0
Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field—0
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison—0
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs—0
Approximately Piecewise E(3) Equivariant Point Networks—0
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
Are generative models fair? A study of racial bias in dermatological image generation—0
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation—0
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises—0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
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