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Uncertainty Quantification

Papers

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Showing 1976–2000 of 2366 papers

TitleStatusHype
Considering discrepancy when calibrating a mechanistic electrophysiology modelCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Consensus-Driven Uncertainty for Robotic Grasping based on RGB PerceptionCode0
Band-gap regression with architecture-optimized message-passing neural networksCode0
PAC Prediction Sets Under Covariate ShiftCode0
Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte CarloCode0
PAC Prediction Sets Under Label ShiftCode0
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing RetrievalCode0
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKACode0
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanicsCode0
A Closed-Form Uncertainty Propagation in Non-Rigid Structure from MotionCode0
Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flowsCode0
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric UncertaintyCode0
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language ModelsCode0
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation LearningCode0
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?Code0
Conformal time series decomposition with component-wise exchangeabilityCode0
Parametric Scaling Law of Tuning Bias in Conformal PredictionCode0
Uncertainty Quantification and Decomposition for LLM-based RecommendationCode0
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image ClassificationCode0
Conformal Thresholded Intervals for Efficient RegressionCode0
Partially Stochastic Infinitely Deep Bayesian Neural NetworksCode0
High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning ActivationsCode0
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction DetectionCode0
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