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Uncertainty Quantification

Papers

Showing 101125 of 2366 papers

TitleStatusHype
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep LearningCode1
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural NetworksCode1
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationCode1
Error-quantified Conformal Inference for Time SeriesCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
Expert-Supervised Reinforcement Learning for Offline Policy Learning and EvaluationCode1
Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesCode1
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
Likelihood-Free Parameter Estimation with Neural Bayes EstimatorsCode1
Federated Conformal Predictors for Distributed Uncertainty QuantificationCode1
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM OutputsCode1
Copula Conformal Prediction for Multi-step Time Series ForecastingCode1
Deep learning observables in computational fluid dynamicsCode1
From Fourier to Koopman: Spectral Methods for Long-term Time Series PredictionCode1
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE ControlCode1
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series ForecastingCode1
GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative ModelsCode1
Generating with Confidence: Uncertainty Quantification for Black-box Large Language ModelsCode1
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty QuantificationCode1
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast ImagesCode1
Healing Products of Gaussian ProcessesCode1
Calibrated Explanations for RegressionCode1
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