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Uncertainty Quantification

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TitleStatusHype
Trustworthy Classification through Rank-Based Conformal Prediction SetsCode0
Randomized Physics-Informed Neural Networks for Bayesian Data AssimilationCode1
Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data—0
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning—0
Conformal Prediction for Causal Effects of Continuous TreatmentsCode0
Uncertainty-Aware Decarbonization for Datacenters—0
Latent Diffusion Model for Generating Ensembles of Climate Simulations—0
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion RecognitionCode0
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation—0
Multifidelity Cross-validation—0
Uncertainty Quantification in Table Structure RecognitionCode0
Neural Conditional Probability for Uncertainty Quantification—0
Bayesian Entropy Neural Networks for Physics-Aware Prediction—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
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer—0
Uncertainty Quantification in Large Language Models Through Convex Hull Analysis—0
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks—0
A Thermo-Electro-Mechanical Model for Long-Term Reliability of Aging Transmission Lines—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
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMsCode2
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-PolygraphCode2
Flat Posterior Does Matter For Bayesian Model AveragingCode0
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis—0
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language ModelsCode0
Bayesian neural networks for predicting uncertainty in full-field material response—0
Graph Structure Learning with Interpretable Bayesian Neural Networks—0
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning—0
Random pairing MLE for estimation of item parameters in Rasch model—0
Efficient gPC-based quantification of probabilistic robustness for systems in neuroscience—0
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented GenerationCode0
ClaudesLens: Uncertainty Quantification in Computer Vision ModelsCode0
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regressionCode0
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction—0
Active search for Bifurcations—0
Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian ModelsCode0
α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction—0
A Rate-Distortion View of Uncertainty QuantificationCode1
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
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal DataCode1
Assessment of Uncertainty Quantification in Universal Differential Equations—0
Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale—0
Generative vs. Discriminative modeling under the lens of uncertainty quantification—0
Active Inference Meeting Energy-Efficient Control of Parallel and Identical MachinesCode0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
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