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Uncertainty Quantification

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Showing 626–650 of 2366 papers

TitleStatusHype
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification—0
A generative foundation model for an all-in-one seismic processing framework—0
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations—0
Uncertainty Quantification of Wind Gust Predictions in the Northeast US: An Evidential Neural Network and Explainable Artificial Intelligence Approach—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Trustworthy Evaluation of Generative AI Models—0
Position: Curvature Matrices Should Be Democratized via Linear Operators—0
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data AcquisitionCode0
Robust Online Conformal Prediction under Uniform Label Noise—0
Probabilistic Joint Recovery Method for CO_2 Plume Monitoring—0
PDE-DKL: PDE-constrained deep kernel learning in high dimensionalityCode0
BARNN: A Bayesian Autoregressive and Recurrent Neural Network—0
Uncertainty Quantification and Decomposition for LLM-based RecommendationCode0
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios—0
Noise-Adaptive Conformal Classification with Marginal CoverageCode0
Evidential Physics-Informed Neural Networks—0
Approximate Message Passing for Bayesian Neural NetworksCode0
Visualizing Uncertainty in Translation Tasks: An Evaluation of LLM Performance and Confidence MetricsCode0
Making Reliable and Flexible Decisions in Long-tailed ClassificationCode0
Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century—0
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective—0
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