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Uncertainty Quantification

Papers

Showing 101–125 of 2366 papers

TitleStatusHype
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian ProcessesCode0
Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et ApplicationsCode0
Are vision language models robust to uncertain inputs?—0
SPIEDiff: robust learning of long-time macroscopic dynamics from short-time particle simulations with quantified epistemic uncertainty—0
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles—0
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere—0
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors—0
JaxSGMC: Modular stochastic gradient MCMC in JAXCode1
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification—0
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours—0
Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized TrajectoriesCode0
Generalizing Large Language Model Usability Across Resource-Constrained—0
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM OutputsCode1
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation—0
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Improving Random Forests by Smoothing—0
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration—0
QoSBERT: An Uncertainty-Aware Approach based on Pre-trained Language Models for Service Quality Prediction—0
Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution BundlesCode0
RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles—0
HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation StatisticsCode1
Regression-based Melody Estimation with Uncertainty QuantificationCode0
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