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Uncertainty Quantification

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Showing 1901–1950 of 2366 papers

TitleStatusHype
Coresets for Scalable Bayesian Logistic RegressionCode0
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage GuaranteesCode0
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPsCode0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
Full-field surrogate modeling of cardiac function encoding geometric variabilityCode0
Full-waveform earthquake source inversion using simulation-based inferenceCode0
Fully Bayesian inference for latent variable Gaussian process modelsCode0
Fully Bayesian VIB-DeepSSMCode0
Offline Meta Reinforcement Learning with In-Distribution Online AdaptationCode0
Off-Policy Confidence Interval Estimation with Confounded Markov Decision ProcessCode0
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural NetworksCode0
Sampling-based inference for large linear models, with application to linearised LaplaceCode0
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural NetworksCode0
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic SmoothingCode0
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace InferenceCode0
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty EstimationCode0
Function-space Parameterization of Neural Networks for Sequential LearningCode0
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty QuantificationCode0
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age ModelingCode0
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous CasesCode0
Binscatter RegressionsCode0
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy SegmentationCode0
On Local Posterior Structure in Deep EnsemblesCode0
Bayesian active learning for optimization and uncertainty quantification in protein dockingCode0
Estimating prevalence with precision and accuracyCode0
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantificationCode0
Equivariant Neural Simulators for Stochastic Spatiotemporal DynamicsCode0
The Implicit Delta MethodCode0
Uncertainty in Neural Networks: Approximately Bayesian EnsemblingCode0
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High DimensionsCode0
On Subjective Uncertainty Quantification and Calibration in Natural Language GenerationCode0
Quasi-Bayesian Dual Instrumental Variable RegressionCode0
On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network PosteriorsCode0
Epistemic Uncertainty Quantification in Deep Learning Classification by the Delta MethodCode0
Bayesian Active Learning By Distribution DisagreementCode0
Gaussian Process Subspace Regression for Model ReductionCode0
Bi-fidelity Variational Auto-encoder for Uncertainty QuantificationCode0
Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain TrajectoriesCode0
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse ProblemsCode0
EquiNO: A Physics-Informed Neural Operator for Multiscale SimulationsCode0
UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network ModelsCode0
Generalised Linear Models for Dependent Binary Outcomes with Applications to Household Stratified Pandemic Influenza DataCode0
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System PerceptionCode0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep LearningCode0
On the optimization and pruning for Bayesian deep learningCode0
Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantificationCode0
On the Role of Surrogates in Conformal Inference of Individual Causal EffectsCode0
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsCode0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
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