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Uncertainty Quantification

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Showing 801–850 of 2366 papers

TitleStatusHype
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning—0
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information—0
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling—0
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion—0
LLM Confidence Evaluation Measures in Zero-Shot CSS Classification—0
Black-box Uncertainty Quantification Method for LLM-as-a-Judge—0
Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps—0
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline—0
SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics DataCode0
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery—0
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
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback—0
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series—0
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting—0
Calibrated Computation-Aware Gaussian ProcessesCode0
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective—0
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs—0
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection—0
Conformal Prediction: A Data Perspective—0
PH-Dropout: Practical Epistemic Uncertainty Quantification for View SynthesisCode0
Regression Conformal Prediction under BiasCode0
Learning-Based Shielding for Safe Autonomy under Unknown Dynamics—0
Online scalable Gaussian processes with conformal prediction for guaranteed coverage—0
On Uncertainty In Natural Language Processing—0
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning—0
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs—0
Thermodynamic Bayesian Inference—0
Uncertainty Quantification with Bayesian Higher Order ReLU KANsCode0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring—0
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical SystemsCode0
Decision-Focused Uncertainty QuantificationCode0
Stabilizing the Kumaraswamy Distribution—0
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown—0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Improved User Identification through Calibrated Monte-Carlo DropoutCode0
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
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation—0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites—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
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors—0
Bayesian computation with generative diffusion models by Multilevel Monte CarloCode0
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
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