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Uncertainty Quantification

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Showing 851–900 of 2366 papers

TitleStatusHype
QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring—0
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals—0
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals—0
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory—0
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation LearningCode0
Physics-informed active learning for accelerating quantum chemical simulationsCode2
Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theoryCode2
Analytical results for uncertainty propagation through trained machine learning regression models—0
Data-driven modeling and prediction of microglial cell dynamics in the ischemic penumbra—0
A variational neural Bayes framework for inference on intractable posterior distributionsCode0
Accelerating Ensemble Error Bar Prediction with Single Models Fits—0
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEsCode2
Epistemic Uncertainty Quantification For Pre-trained Neural Network—0
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learningCode0
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies—0
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification—0
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite DataCode0
On the Independence Assumption in Neurosymbolic Learning—0
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing—0
Deep Generative Data Assimilation in Multimodal SettingCode1
Kermut: Composite kernel regression for protein variant effectsCode1
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning—0
Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks—0
Towards detecting unanticipated bias in Large Language Models—0
Universal Functional Regression with Neural Operator FlowsCode1
Traffic State Estimation and Uncertainty Quantification at Signalized Intersections with Low Penetration Rate Vehicle Trajectory Data—0
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models—0
LUQ: Long-text Uncertainty Quantification for LLMsCode1
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets—0
Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs—0
On Uncertainty Quantification for Near-Bayes Optimal AlgorithmsCode0
Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation—0
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free PredictionCode0
R2D2 image reconstruction with model uncertainty quantification in radio astronomy—0
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
Uncertainty Quantification for Gradient-based Explanations in Neural Networks—0
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes—0
Bridging the Sim-to-Real Gap with Bayesian Inference—0
Enabling Uncertainty Estimation in Iterative Neural NetworksCode1
An Analytic Solution to Covariance Propagation in Neural NetworksCode0
Conformal online model aggregationCode0
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models—0
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detectionCode0
Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems—0
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offsCode0
Uncertainty quantification for data-driven weather modelsCode1
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge—0
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix ItCode0
Fast Value Tracking for Deep Reinforcement Learning—0
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy SegmentationCode0
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