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Uncertainty Quantification

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Showing 351–400 of 2366 papers

TitleStatusHype
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis—0
Robust and Conjugate Spatio-Temporal Gaussian ProcessesCode0
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE ControlCode1
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural NetworksCode0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Gaussian processes for dynamics learning in model predictive control—0
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics—0
UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localizationCode1
A generative foundation model for an all-in-one seismic processing framework—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
Error-quantified Conformal Inference for Time SeriesCode1
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
Position: Curvature Matrices Should Be Democratized via Linear Operators—0
Trustworthy Evaluation of Generative AI Models—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Probabilistic Joint Recovery Method for CO_2 Plume Monitoring—0
BARNN: A Bayesian Autoregressive and Recurrent Neural Network—0
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data AcquisitionCode0
Robust Online Conformal Prediction under Uniform Label Noise—0
PDE-DKL: PDE-constrained deep kernel learning in high dimensionalityCode0
Noise-Adaptive Conformal Classification with Marginal CoverageCode0
Uncertainty Quantification and Decomposition for LLM-based RecommendationCode0
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios—0
Evidential Physics-Informed Neural Networks—0
Visualizing Uncertainty in Translation Tasks: An Evaluation of LLM Performance and Confidence MetricsCode0
Approximate Message Passing for Bayesian Neural NetworksCode0
Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine LearningCode1
coverforest: Conformal Predictions with Random Forest in PythonCode1
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
Are generative models fair? A study of racial bias in dermatological image generation—0
Can Bayesian Neural Networks Make Confident Predictions?—0
Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification—0
Deep Operator Networks for Bayesian Parameter Estimation in PDEs—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning—0
Scalable Bayesian Physics-Informed Kolmogorov-Arnold Networks—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Testing Human-Hand Segmentation on In-Distribution and Out-of-Distribution Data in Human-Robot Interactions Using a Deep Ensemble Model—0
Compact Bayesian Neural Networks via pruned MCMC samplingCode0
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach—0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
Distilling Calibration via Conformalized Credal Inference—0
Geophysical inverse problems with measurement-guided diffusion models—0
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks—0
Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
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