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Uncertainty Quantification

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Showing 1151–1200 of 2366 papers

TitleStatusHype
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes—0
Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction—0
Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios—0
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network—0
Scalable Bayesian inference for the generalized linear mixed model—0
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles—0
Scalable Bayesian Physics-Informed Kolmogorov-Arnold Networks—0
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls—0
Data Augmentation for Bayesian Deep Learning—0
Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition—0
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization—0
Scalable Model-Based Gaussian Process Clustering—0
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression—0
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN—0
Scalable Uncertainty for Computer Vision with Functional Variational Inference—0
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO—0
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks—0
SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning—0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions—0
Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation—0
Score-based generative models are provably robust: an uncertainty quantification perspective—0
Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification—0
Second-Order Uncertainty Quantification: Variance-Based Measures—0
Second-Order Uncertainty Quantification: A Distance-Based Approach—0
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models—0
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework—0
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models—0
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks—0
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds—0
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification—0
Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation—0
Seismic Bayesian evidential learning: Estimation and uncertainty quantification of sub-resolution reservoir properties—0
Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling—0
Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging—0
Self-Aware Personalized Federated Learning—0
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification—0
Self-Powered Solar Aerial Vehicles: Towards Infinite Endurance UAVs—0
Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?—0
Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models—0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems—0
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification—0
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations—0
Semiparametric Bayesian Inference for a Conditional Moment Equality Model—0
Semiparametric inference using fractional posteriors—0
Semi-parametric Network Structure Discovery Models—0
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score—0
Semi-supervised deep learning for high-dimensional uncertainty quantification—0
Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting—0
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