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Uncertainty Quantification

Papers

Showing 201250 of 2366 papers

TitleStatusHype
A Rate-Distortion View of Uncertainty QuantificationCode1
Model-Bellman Inconsistency for Model-based Offline Reinforcement LearningCode1
Multimodal Learning with Uncertainty Quantification based on Discounted Belief FusionCode1
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesCode1
Neural BootstrapperCode1
Novel Class Discovery for 3D Point Cloud Semantic SegmentationCode1
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationCode1
Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty PropagationCode1
Object Shape Error Response Using Bayesian 3-D Convolutional Neural Networks for Assembly Systems With Compliant PartsCode1
On Verbalized Confidence Scores for LLMsCode1
OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform InversionCode1
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterizationCode1
Personalized Federated Learning under Mixture of DistributionsCode1
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement LearningCode1
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free InferenceCode1
Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty QuantificationCode1
COMBO: Conservative Offline Model-Based Policy OptimizationCode1
Conformal PID Control for Time Series PredictionCode1
A Simple Baseline for Bayesian Uncertainty in Deep LearningCode1
Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load ConditionsCode1
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty QuantificationCode1
Post-hoc Uncertainty Learning using a Dirichlet Meta-ModelCode1
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
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical dataCode1
Probabilistic Circuits That Know What They Don't KnowCode1
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM OutputsCode1
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality ForecastingCode1
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous SpaceCode1
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian ProcessesCode1
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extractionCode1
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?Code1
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval PredictorsCode1
Disentangling Uncertainty in Machine Translation EvaluationCode1
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image SegmentationCode1
Robust Uncertainty Quantification Using Conformalised Monte Carlo PredictionCode1
Bayes' Rays: Uncertainty Quantification for Neural Radiance FieldsCode1
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic SpaceCode1
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
Uncertainty Estimation Using a Single Deep Deterministic Neural NetworkCode1
Simple and Scalable Predictive Uncertainty Estimation using Deep EnsemblesCode1
Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse ProblemsCode1
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of WildfiresCode1
Bayesian graph convolutional neural networks via tempered MCMCCode1
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionCode1
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification TasksCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
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