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Uncertainty Quantification

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TitleStatusHype
Computing High-dimensional Confidence Sets for Arbitrary Distributions—0
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—0
Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—0
Stochastic Model Predictive Control of Charging Energy Hubs with Conformal Prediction—0
Bayesian Predictive Coding—0
New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
POINT^2: A Polymer Informatics Training and Testing DatabaseCode1
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows—0
Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models—0
Robustness quantification: a new method for assessing the reliability of the predictions of a classifier—0
Generative Latent Neural PDE Solver using Flow Matching—0
Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation—0
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
LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused EvaluationCode0
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception—0
Coverage-Guaranteed Speech Emotion Recognition via Calibrated Uncertainty-Adaptive Prediction Sets—0
Language Model Uncertainty Quantification with Attention ChainCode1
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
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
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine LearningCode3
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
Bayesian Modeling of Zero-Shot Classifications for Urban Flood DetectionCode0
Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal PredictionCode0
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference—0
These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models—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
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal predictionCode0
On Local Posterior Structure in Deep EnsemblesCode0
E-Values Expand the Scope of Conformal PredictionCode0
H-AddiVortes: Heteroscedastic (Bayesian) Additive Voronoi Tessellations—0
Survival Analysis with Machine Learning for Predicting Li-ion Battery Remaining Useful LifeCode1
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions—0
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?—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
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy PredictionCode1
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