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Uncertainty Quantification

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Showing 501–550 of 2366 papers

TitleStatusHype
EquiNO: A Physics-Informed Neural Operator for Multiscale SimulationsCode0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series—0
Continual learning via probabilistic exchangeable sequence modelling—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
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
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—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
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey—0
NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis PredictionCode0
Uncertainty-Aware Diffusion Guided Refinement of 3D Scenes—0
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence—0
Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal PredictionCode0
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
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
E-Values Expand the Scope of Conformal PredictionCode0
H-AddiVortes: Heteroscedastic (Bayesian) Additive Voronoi Tessellations—0
On Local Posterior Structure in Deep EnsemblesCode0
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?—0
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions—0
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference—0
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural NetworksCode0
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model—0
How To Make Your Cell Tracker Say "I dunno!"—0
Model-Agnostic Uncertainty Quantification for Fast NFC Tag Identification using RF Fingerprinting—0
Conformal Prediction and Human Decision Making—0
Uncertainty Quantification for Multi-fidelity Simulations—0
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework—0
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds—0
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net—0
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving—0
Uncertainty quantification and posterior sampling for network reconstruction—0
Probabilistic Segmentation for Robust Field of View Estimation—0
L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation—0
Uncertainty Quantification From Scaling Laws in Deep Neural Networks—0
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization—0
Conformal Prediction for Image Segmentation Using Morphological Prediction SetsCode0
Conformal forecasting for surgical instrument trajectory—0
Matrix Factorization for Inferring Associations and Missing Links—0
On the Importance of Clearsky Model in Short-Term Solar Radiation Forecasting—0
An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification—0
Learning-based GNSS Uncertainty Quantification using Continuous-Time Factor Graph Optimization—0
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