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Uncertainty Quantification

Papers

Showing 151200 of 2366 papers

TitleStatusHype
JaxSGMC: Modular stochastic gradient MCMC in JAXCode1
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
Bayesian Optimization with Conformal Prediction SetsCode1
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of WildfiresCode1
Extended Stochastic Block Models with Application to Criminal NetworksCode1
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series ForecastingCode1
Federated Conformal Predictors for Distributed Uncertainty QuantificationCode1
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysCode1
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion ModelCode1
Distribution-free binary classification: prediction sets, confidence intervals and calibrationCode1
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong LearningCode1
Adaptive Conformal Predictions for Time SeriesCode1
Deep Deterministic Uncertainty: A Simple BaselineCode1
AutoIP: A United Framework to Integrate Physics into Gaussian ProcessesCode1
Fuzzy Multimodal Learning for Trusted Cross-modal RetrievalCode1
AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation ModelsCode1
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Generating Evidential BEV Maps in Continuous Driving SpaceCode1
Generating with Confidence: Uncertainty Quantification for Black-box Large Language ModelsCode1
Calibrated Explanations for RegressionCode1
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval PredictorsCode1
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast ImagesCode1
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational ImagingCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Improved Online Conformal Prediction via Strongly Adaptive Online LearningCode1
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing FlowsCode1
Incorporating Interpretable Output Constraints in Bayesian Neural NetworksCode1
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesCode1
Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionCode1
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language ModelsCode1
Inverse Design with Dynamic Mode DecompositionCode1
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsCode1
Language Model Uncertainty Quantification with Attention ChainCode1
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free InferenceCode1
Author Clustering and Topic Estimation for Short TextsCode1
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning AlgorithmsCode1
Learning by example: fast reliability-aware seismic imaging with normalizing flowsCode1
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
COMBO: Conservative Offline Model-Based Policy OptimizationCode1
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantificationCode1
A Simple Baseline for Bayesian Uncertainty in Deep LearningCode1
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage GuaranteesCode1
Conformal Inference of Counterfactuals and Individual Treatment EffectsCode1
Masksembles for Uncertainty EstimationCode1
Materials Property Prediction with Uncertainty Quantification: A Benchmark StudyCode1
Model-Based Uncertainty in Value FunctionsCode1
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extractionCode1
Deep Generative Data Assimilation in Multimodal SettingCode1
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