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Uncertainty Quantification

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TitleStatusHype
Neural Conditional Probability for Uncertainty Quantification—0
Uncertainty Quantification in Table Structure RecognitionCode0
Bayesian Entropy Neural Networks for Physics-Aware Prediction—0
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation—0
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models—0
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety—0
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage GuaranteesCode0
Uncertainty Quantification in Large Language Models Through Convex Hull Analysis—0
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer—0
A Thermo-Electro-Mechanical Model for Long-Term Reliability of Aging Transmission Lines—0
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks—0
Length Optimization in Conformal PredictionCode0
Conformalized Link Prediction on Graph Neural Networks—0
Moment-based parameter inference with error guarantees for stochastic reaction networksCode0
Conformal time series decomposition with component-wise exchangeabilityCode0
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language ModelsCode0
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis—0
Flat Posterior Does Matter For Bayesian Model AveragingCode0
Bayesian neural networks for predicting uncertainty in full-field material response—0
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning—0
Random pairing MLE for estimation of item parameters in Rasch model—0
Graph Structure Learning with Interpretable Bayesian Neural Networks—0
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented GenerationCode0
Efficient gPC-based quantification of probabilistic robustness for systems in neuroscience—0
ClaudesLens: Uncertainty Quantification in Computer Vision ModelsCode0
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regressionCode0
Active search for Bifurcations—0
Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian ModelsCode0
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction—0
α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction—0
Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework—0
Trustworthy Artificial Intelligence in the Context of Metrology—0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
Assessment of Uncertainty Quantification in Universal Differential Equations—0
Active Inference Meeting Energy-Efficient Control of Parallel and Identical MachinesCode0
Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale—0
Generative vs. Discriminative modeling under the lens of uncertainty quantification—0
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
Neural Visibility Field for Uncertainty-Driven Active Mapping—0
Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis—0
Distribution-Free Predictive Inference under Unknown Temporal DriftCode0
A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty—0
Conformal Prediction for Class-wise Coverage via Augmented Label Rank CalibrationCode0
Linearization Turns Neural Operators into Function-Valued Gaussian Processes—0
Stochastic full waveform inversion with deep generative prior for uncertainty quantification—0
Winner-takes-all learners are geometry-aware conditional density estimatorsCode0
On Subjective Uncertainty Quantification and Calibration in Natural Language GenerationCode0
Linear Opinion Pooling for Uncertainty Quantification on GraphsCode0
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