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Uncertainty Quantification

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Showing 501–525 of 2366 papers

TitleStatusHype
EquiNO: A Physics-Informed Neural Operator for Multiscale SimulationsCode0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
Continual learning via probabilistic exchangeable sequence modelling—0
Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series—0
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception—0
LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused EvaluationCode0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models—0
Coverage-Guaranteed Speech Emotion Recognition via Calibrated Uncertainty-Adaptive Prediction Sets—0
Probabilistic Net Load Forecasting for High-Penetration RES Grids Utilizing Enhanced Conditional Diffusion Model—0
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content—0
NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis PredictionCode0
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
Uncertainty-Aware Diffusion Guided Refinement of 3D Scenes—0
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence—0
These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models—0
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal predictionCode0
Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal PredictionCode0
Bayesian Modeling of Zero-Shot Classifications for Urban Flood DetectionCode0
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference—0
ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian SensorsCode0
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation—0
On Local Posterior Structure in Deep EnsemblesCode0
E-Values Expand the Scope of Conformal PredictionCode0
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