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Uncertainty Quantification

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Showing 801–850 of 2366 papers

TitleStatusHype
ProDAG: Projected Variational Inference for Directed Acyclic GraphsCode0
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models—0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback—0
A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI—0
Regression Trees Know Calculus—0
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling—0
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic SpaceCode1
Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation—0
Uncertainty quantification by block bootstrap for differentially private stochastic gradient descent—0
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory—0
Beyond Calibration: Assessing the Probabilistic Fit of Neural Regressors via Conditional Congruence—0
Conditional Shift-Robust Conformal Prediction for Graph Neural Network—0
Efficient Line Search Method Based on Regression and Uncertainty Quantification—0
Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis—0
Multi-Source Conformal Inference Under Distribution ShiftCode0
Improving Label Error Detection and Elimination with Uncertainty Quantification—0
Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised LearningCode0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
CVAE-SM: A Conditional Variational Autoencoder with Style Modulation for Efficient Uncertainty QuantificationCode0
Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing—0
Do Bayesian imaging methods report trustworthy probabilities?—0
Informativeness of Weighted Conformal PredictionCode0
Uncertainty quantification in metric spaces—0
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse ProblemsCode0
A design specification for Critical Illness Digital Twins to cure sepsis: responding to the National Academies of Sciences, Engineering and Medicine Report: Foundational Research Gaps and Future Directions for Digital Twins—0
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression—0
Uncertainty Quantification Metrics for Deep Regression—0
MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging—0
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks—0
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning—0
Conformal Prediction for Natural Language Processing: A Survey—0
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries—0
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement—0
Accelerating Convergence in Bayesian Few-Shot ClassificationCode0
Random Pareto front surfacesCode0
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design—0
Statistics and explainability: a fruitful alliance—0
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement LearningCode1
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty QuantificationCode0
Uncertainty quantification for iterative algorithms in linear models with application to early stopping—0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting—0
Deep Evidential Learning for Radiotherapy Dose Prediction—0
Taming False Positives in Out-of-Distribution Detection with Human FeedbackCode0
Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge—0
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification—0
Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting—0
Uncertainty Quantification on Graph Learning: A Survey—0
A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward Model—0
Multiclass ROC—0
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