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Uncertainty Quantification

Papers

Showing 201250 of 2366 papers

TitleStatusHype
Finite-dimensional Gaussian approximation with linear inequality constraintsCode1
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement LearningCode1
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure managementCode1
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
Conformal Time-series ForecastingCode1
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with PhysicsCode1
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-ThoughtCode1
Posterior Inference with Diffusion Models for High-dimensional Black-box OptimizationCode1
Post-hoc Probabilistic Vision-Language ModelsCode1
Copula Conformal Prediction for Multi-step Time Series ForecastingCode1
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantificationCode1
Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine LearningCode1
coverforest: Conformal Predictions with Random Forest in PythonCode1
Private Prediction SetsCode1
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality ForecastingCode1
Probabilistic Forecasting with Generative Networks via Scoring Rule MinimizationCode1
Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty QuantificationCode1
Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical SimulationsCode1
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong LearningCode1
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extractionCode1
A Simple Baseline for Bayesian Uncertainty in Deep LearningCode1
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?Code1
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
Decomposing Uncertainty for Large Language Models through Input Clarification EnsemblingCode1
Deep active subspaces - a scalable method for high-dimensional uncertainty propagationCode1
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantificationCode1
Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imagingCode1
Evidential Deep Learning to Quantify Classification UncertaintyCode1
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM OutputsCode1
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentationCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
Deep Generative Classification of Blood Cell MorphologyCode1
Bayesian Meta-Learning for the Few-Shot Setting via Deep KernelsCode1
Deep learning observables in computational fluid dynamicsCode1
Semi-supervised Variational Autoencoder for Regression: Application on Soft SensorsCode1
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language ModelsCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning AlgorithmsCode1
Evidential Turing ProcessesCode1
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study)Code1
Deep Deterministic Uncertainty: A Simple BaselineCode1
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion ModelCode1
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image ClassificationCode1
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident PredictionCode1
Distribution-free binary classification: prediction sets, confidence intervals and calibrationCode1
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationCode1
AutoIP: A United Framework to Integrate Physics into Gaussian ProcessesCode1
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression LabelsCode1
Edge Tracing using Gaussian Process RegressionCode1
Author Clustering and Topic Estimation for Short TextsCode1
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