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Uncertainty Quantification

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TitleStatusHype
Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design—0
The Robust Semantic Segmentation UNCV2023 Challenge Results—0
Uncertainty Quantification via Neural Posterior Principal Components—0
Characterising User Transfer Amid Industrial Resource Variation: A Bayesian Nonparametric Approach—0
DPA-WNO: A gray box model for a class of stochastic mechanics problem—0
Uncertainty-driven Exploration Strategies for Online Grasp Learning—0
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks—0
Using AI Uncertainty Quantification to Improve Human Decision-Making—0
Adversarial Attacks Against Uncertainty Quantification—0
Multi-fidelity climate model parameterization for better generalization and extrapolation—0
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian ManifoldsCode0
Uncertainty Quantification of Autoencoder-based Koopman Operator—0
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes—0
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge—0
A Critical Analysis of Internal Reliability for Uncertainty Quantification of Dense Image Matching in Multi-view Stereo—0
A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantificationCode0
Uncertainty quantification for learned ISTA—0
Tree of Uncertain Thoughts Reasoning for Large Language Models—0
Scalable Model-Based Gaussian Process Clustering—0
Uncertainty-aware Traffic Prediction under Missing DataCode0
Physics-informed Bayesian inference of external potentials in classical density-functional theory—0
When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System—0
Identifying Bayesian Optimal Experiments for Uncertain Biochemical Pathway Models—0
Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivityCode0
Promises of Deep Kernel Learning for Control Synthesis—0
Band-gap regression with architecture-optimized message-passing neural networksCode0
Medical Image Segmentation with Belief Function Theory and Deep Learning—0
Physics-informed reinforcement learning via probabilistic co-adjustment functions—0
Data-driven Bayesian Control of Port-Hamiltonian Systems—0
Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks—0
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification—0
Physics-Informed Polynomial Chaos Expansions—0
Analysis of Diagnostics (Part I): Prevalence, Uncertainty Quantification, and Machine Learning—0
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness—0
Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models—0
Distributionally Robust Statistical Verification with Imprecise Neural Networks—0
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution—0
Probabilistic load forecasting with Reservoir Computing—0
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification—0
Variational Density Propagation Continual Learning—0
Deep Evidential Learning for Bayesian Quantile Regression—0
Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling—0
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks—0
Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and InterpretationCode0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Fast Risk Assessment in Power Grids through Novel Gaussian Process and Active Learning—0
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural NetworksCode0
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