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Uncertainty Quantification

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Showing 1201–1250 of 2366 papers

TitleStatusHype
Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement—0
Sequential Gibbs Posteriors with Applications to Principal Component Analysis—0
Sequential image recovery using joint hierarchical Bayesian learning—0
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception—0
Sharing Information Between Machine Tools to Improve Surface Finish Forecasting—0
SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification—0
Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network—0
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals—0
SleepMore: Inferring Sleep Duration at Scale via Multi-Device WiFi Sensing—0
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification—0
Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions—0
Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics—0
SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses—0
SoftBart: Soft Bayesian Additive Regression Trees—0
Solving Bayesian Inverse Problems via Variational Autoencoders—0
Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data—0
Source-to-Source Automatic Differentiation of OpenMP Parallel Loops—0
Sparse Bayesian Lasso via a Variable-Coefficient _1 Penalty—0
Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis—0
Sparse Deep Learning for Time Series Data: Theory and Applications—0
Sparse discovery of differential equations based on multi-fidelity Gaussian process—0
Data-driven modeling and prediction of microglial cell dynamics in the ischemic penumbra—0
Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications—0
Sparse representation for damage identification of structural systems—0
Sparse Uncertainty Representation in Deep Learning with Inducing Weights—0
Spatial Conformal Inference through Localized Quantile Regression—0
Bayesian Spatial Predictive Synthesis—0
Spatial spread of COVID-19 outbreak in Italy using multiscale kinetic transport equations with uncertainty—0
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer—0
Spatiotemporal Besov Priors for Bayesian Inverse Problems—0
Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors—0
Spectral Ranking Inferences based on General Multiway Comparisons—0
SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information—0
SPIEDiff: robust learning of long-time macroscopic dynamics from short-time particle simulations with quantified epistemic uncertainty—0
Spline Dimensional Decomposition with Interpolation-based Optimal Knot Selection for Stochastic Dynamic Analysis—0
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models—0
Stabilizing the Kumaraswamy Distribution—0
Stable Deep MRI Reconstruction using Generative Priors—0
STACI: Spatio-Temporal Aleatoric Conformal Inference—0
State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning—0
Statistical Analysis of Wasserstein Distributionally Robust Estimators—0
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection—0
Statistical aspects of nuclear mass models—0
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation—0
Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients—0
Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps—0
Statistical Mechanics of Dynamical System Identification—0
Statistical Perspectives on Reliability of Artificial Intelligence Systems—0
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks—0
Statistics and explainability: a fruitful alliance—0
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