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Uncertainty Quantification

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TitleStatusHype
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence—0
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology—0
Marketing Mix Modeling in Lemonade—0
Physics-informed Gaussian Processes for Safe Envelope ExpansionCode0
Bayesian Active Learning By Distribution DisagreementCode0
Fuzzy Multimodal Learning for Trusted Cross-modal RetrievalCode1
An AI-powered Bayesian generative modeling approach for causal inference in observational studies—0
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs—0
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes—0
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks—0
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer—0
Conformal Risk Control for Pulmonary Nodule DetectionCode0
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction—0
Uncertainty Quantification in Stereo MatchingCode0
Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load ConditionsCode1
Multimodal Learning with Uncertainty Quantification based on Discounted Belief FusionCode1
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks—0
Uncertainty Quantification in Continual Open-World Learning—0
Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct ResponsesCode0
On Verbalized Confidence Scores for LLMsCode1
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm EventsCode0
Reliability analysis for non-deterministic limit-states using stochastic emulators—0
Uncertainty separation via ensemble quantile regression—0
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework—0
On the Role of Surrogates in Conformal Inference of Individual Causal EffectsCode0
Constructing Confidence Intervals for Average Treatment Effects from Multiple DatasetsCode0
Information-Geometric Barycenters for Bayesian Federated Learning—0
Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography—0
Learning Normal Flow Directly From Event NeighborhoodsCode1
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport—0
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification—0
CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind ForecastingCode0
Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach—0
Subspace tracking for online system identification—0
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization—0
Distribution free uncertainty quantification in neuroscience-inspired deep operators—0
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty—0
Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling—0
Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage—0
Dual Random Fields and their Application to Mineral Potential Mapping—0
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation—0
GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative ModelsCode1
PolytopeWalk: Sparse MCMC Sampling over PolytopesCode1
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning—0
Post-hoc Probabilistic Vision-Language ModelsCode1
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble—0
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions—0
Uncertainty Quantification for Transformer Models for Dark-Pattern Detection—0
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems—0
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