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Uncertainty Quantification

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Showing 551–600 of 2366 papers

TitleStatusHype
Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps—0
Black-box Uncertainty Quantification Method for LLM-as-a-Judge—0
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery—0
SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics DataCode0
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning—0
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures—0
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction SetsCode3
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting—0
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback—0
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series—0
Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRICode5
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective—0
Calibrated Computation-Aware Gaussian ProcessesCode0
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection—0
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs—0
Conformal Prediction: A Data Perspective—0
Learning-Based Shielding for Safe Autonomy under Unknown Dynamics—0
Online scalable Gaussian processes with conformal prediction for guaranteed coverage—0
PH-Dropout: Practical Epistemic Uncertainty Quantification for View SynthesisCode0
Regression Conformal Prediction under BiasCode0
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs—0
On Uncertainty In Natural Language Processing—0
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning—0
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical SystemsCode0
Decision-Focused Uncertainty QuantificationCode0
Uncertainty Quantification with Bayesian Higher Order ReLU KANsCode0
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring—0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
Thermodynamic Bayesian Inference—0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Stabilizing the Kumaraswamy Distribution—0
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown—0
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Improved User Identification through Calibrated Monte-Carlo DropoutCode0
Positional Encoder Graph Quantile Neural Networks for Geographic DataCode2
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization—0
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in GraphsCode0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation—0
Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery—0
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review—0
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites—0
Bayesian computation with generative diffusion models by Multilevel Monte CarloCode0
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors—0
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification—0
Deep Probability Segmentation: Are segmentation models probability estimators?—0
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation—0
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics—0
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