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Uncertainty Quantification

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Showing 1801–1850 of 2366 papers

TitleStatusHype
Bayesian Spatial Predictive Synthesis—0
NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification—0
Bayesian Spillover Graphs for Dynamic NetworksCode0
Machine learning models predict calculation outcomes with the transferability necessary for computational catalysis—0
Bayesian adaptive and interpretable functional regression for exposure profilesCode0
Rule-based Evolutionary Bayesian LearningCode0
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection—0
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression—0
Off-Policy Confidence Interval Estimation with Confounded Markov Decision ProcessCode0
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate—0
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric UncertaintyCode0
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy—0
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction DetectionCode0
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks—0
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories—0
Deep Ensembles Work, But Are They Necessary?Code0
Local approximation of operators—0
Deep Learning to advance the Eigenspace Perturbation Method for Turbulence Model Uncertainty Quantification—0
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty—0
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problemsCode0
Model Architecture Adaption for Bayesian Neural Networks—0
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems—0
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning—0
Multi-model Ensemble Analysis with Neural Network Gaussian Processes—0
Deformable Image Registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy—0
Non-parametric Uncertainty Assessment in Deep-Learning Based Affine Image Registration—0
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems—0
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning—0
Counterfactual Plans under Distributional AmbiguityCode0
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information—0
Analytic Mutual Information in Bayesian Neural Networks—0
Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure TransportCode0
Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification—0
Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution—0
Better Uncertainty Quantification for Machine Translation Evaluation—0
A Kernel-Expanded Stochastic Neural NetworkCode0
Probabilistic Mass Mapping with Neural Score Estimation—0
An Overview of Uncertainty Quantification Methods for Infinite Neural Networks—0
Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy—0
Systems Challenges for Trustworthy Embodied Systems—0
Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions—0
Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application—0
Bayesian Neural Hawkes Process for Event Uncertainty Prediction—0
Wasserstein Generative Learning of Conditional DistributionCode0
Variational Bayes for high-dimensional proportional hazards models with applications within gene expressionCode0
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsCode0
A data-centric weak supervised learning for highway traffic incident detection—0
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift—0
Bayesian Graph Contrastive Learning—0
A Complete Characterisation of ReLU-Invariant Distributions—0
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