SOTAVerified

Uncertainty Quantification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–750 of 2366 papers

TitleStatusHype
Bayesian score calibration for approximate modelsCode0
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic BeliefsCode0
Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty QuantificationCode0
Conformal time series decomposition with component-wise exchangeabilityCode0
Expectation consistency for calibration of neural networksCode0
Dirichlet-based Gaussian Processes for Large-scale Calibrated ClassificationCode0
Off-Policy Confidence Interval Estimation with Confounded Markov Decision ProcessCode0
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty EstimationCode0
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
On Subjective Uncertainty Quantification and Calibration in Natural Language GenerationCode0
Conformal Thresholded Intervals for Efficient RegressionCode0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
On the Role of Surrogates in Conformal Inference of Individual Causal EffectsCode0
ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian SensorsCode0
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation LearningCode0
A Closed-Form Uncertainty Propagation in Non-Rigid Structure from MotionCode0
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of MultipliersCode0
Optimal Conformal Prediction under Epistemic UncertaintyCode0
Bayesian uncertainty quantification for data-driven equation learningCode0
Conformal Risk Control for Pulmonary Nodule DetectionCode0
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm EventsCode0
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence FunctionsCode0
Accuracy-Preserving Calibration via Statistical Modeling on Probability SimplexCode0
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image ClassificationCode0
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weightingCode0
Band-gap regression with architecture-optimized message-passing neural networksCode0
Evaluating Bayesian Deep Learning Methods for Semantic SegmentationCode0
Prediction Sets Adaptive to Unknown Covariate ShiftCode0
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural NetworksCode0
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantificationCode0
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantificationCode0
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy SegmentationCode0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
Estimation of spatio-temporal extremes via generative neural networksCode0
Evaluating Uncertainty in Deep Gaussian ProcessesCode0
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse ProblemsCode0
EquiNO: A Physics-Informed Neural Operator for Multiscale SimulationsCode0
Equivariant Neural Simulators for Stochastic Spatiotemporal DynamicsCode0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
A variational neural Bayes framework for inference on intractable posterior distributionsCode0
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsCode0
Conformal Prediction for Multimodal RegressionCode0
Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy ImagesCode0
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakCode0
Estimating prevalence with precision and accuracyCode0
E-Values Expand the Scope of Conformal PredictionCode0
Conformal Prediction for Image Segmentation Using Morphological Prediction SetsCode0
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regressionCode0
Show:102550
← PrevPage 15 of 48Next →

No leaderboard results yet.