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Uncertainty Quantification

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Showing 826–850 of 2366 papers

TitleStatusHype
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback—0
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes—0
A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts—0
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging—0
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
A Unified Bayesian Framework for Pricing Catastrophe Bond Derivatives—0
Conformal forecasting for surgical instrument trajectory—0
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites—0
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems—0
AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING—0
Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization—0
A Thermo-Electro-Mechanical Model for Long-Term Reliability of Aging Transmission Lines—0
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information—0
Active search for Bifurcations—0
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis—0
Confident magnitude-based neural network pruning—0
A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression—0
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning—0
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology—0
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble—0
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks—0
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification—0
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices—0
Conditional Variational Autoencoder for Learned Image Reconstruction—0
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