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Uncertainty Quantification

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TitleStatusHype
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging—0
Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA—0
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes—0
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization—0
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field—0
AdjointNet: Constraining machine learning models with physics-based codes—0
Deep Evidential Learning for Bayesian Quantile Regression—0
Deep Learning: A Tutorial—0
Deep Probability Segmentation: Are segmentation models probability estimators?—0
Direct segmentation of brain white matter tracts in diffusion MRI—0
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation—0
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry—0
Max-Rank: Efficient Multiple Testing for Conformal Prediction—0
Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale—0
A Distributionally Robust Approach to Fair Classification—0
Deep Deterministic Uncertainty: A New Simple Baseline—0
Better Uncertainty Quantification for Machine Translation Evaluation—0
A Planning Framework for Adaptive Labeling—0
A Dictionary Approach to EBSD Indexing—0
Beta-Sorted Portfolios—0
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications—0
Deep convolutional neural networks for uncertainty propagation in random fields—0
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting—0
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift—0
A Perspective on Gaussian Processes for Earth Observation—0
A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth—0
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
Deep composition of tensor-trains using squared inverse Rosenblatt transports—0
Early-Exit Neural Networks with Nested Prediction Sets—0
Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification—0
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks—0
A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures—0
Deep Compositional Spatial Models—0
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems—0
Deep Ensemble as a Gaussian Process Approximate Posterior—0
An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections—0
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning—0
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring—0
Decision Theoretic Bootstrapping—0
BayesIMP: Uncertainty Quantification for Causal Data Fusion—0
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