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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 the Norms: Detecting Prediction Errors in Regression Models—0
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes—0
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison—0
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
Data-driven Uncertainty Quantification in Computational Human Head Models—0
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification—0
Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization—0
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—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
Harnessing On-Machine Metrology Data for Prints with a Surrogate Model for Laser Powder Directed Energy Deposition—0
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics—0
Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles—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
Data-driven polynomial chaos expansion for machine learning regression—0
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