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Uncertainty Quantification

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Showing 301–350 of 2366 papers

TitleStatusHype
A Risk-Aware Adaptive Robust MPC with Learned Uncertainty Quantification—0
Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning—0
Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature SelectionCode0
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion—0
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning—0
Estimating prevalence with precision and accuracyCode0
NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World ModelsCode0
Deterministic Object Pose Confidence Region Estimation—0
Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics—0
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace InferenceCode0
Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging—0
Uncertainty-Aware Machine-Learning Framework for Predicting Dislocation Plasticity and Stress-Strain Response in FCC Alloys—0
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees—0
Structural System Identification via Validation and Adaptation—0
When Can We Reuse a Calibration Set for Multiple Conformal Predictions?—0
A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers—0
GNN's Uncertainty Quantification using Self-DistillationCode0
Consensus-Driven Uncertainty for Robotic Grasping based on RGB PerceptionCode0
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis—0
Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks—0
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-MakingCode0
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction—0
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localizations for better covariance estimation—0
Model-Agnostic, Temperature-Informed Sampling Enhances Cross-Year Crop Mapping with Deep Learning—0
Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation—0
Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA—0
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions—0
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations—0
Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement—0
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation—0
Improving Group Robustness on Spurious Correlation via Evidential AlignmentCode0
Bayesian Probabilistic Matrix Factorization—0
Textual Bayes: Quantifying Uncertainty in LLM-Based Systems—0
Probabilistic Variational Contrastive Learning—0
Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation—0
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces—0
End-to-End Probabilistic Framework for Learning with Hard Constraints—0
Graph Neural Networks in Modern AI-aided Drug Discovery—0
Antithetic Noise in Diffusion Models—0
Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flowsCode0
Testing Hypotheses of Covariate Effects on Topics of DiscourseCode0
Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning—0
On the Need to Align Intent and Implementation in Uncertainty Quantification for Machine Learning—0
Discovery of Probabilistic Dirichlet-to-Neumann Maps on Graphs—0
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning—0
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs—0
Understanding while Exploring: Semantics-driven Active Mapping—0
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreementCode0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
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