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Uncertainty Quantification

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Showing 1601–1650 of 2366 papers

TitleStatusHype
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)—0
UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data—0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
Looking at the posterior: accuracy and uncertainty of neural-network predictions—0
An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds—0
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity—0
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks—0
SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning—0
Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantificationCode0
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants—0
Fast Uncertainty Estimates in Deep Learning Interatomic Potentials—0
ACon^2: Adaptive Conformal Consensus for Provable Blockchain OraclesCode0
Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks—0
The Implicit Delta MethodCode0
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models—0
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression—0
Bayesian score calibration for approximate modelsCode0
4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry—0
Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training—0
Sparse Bayesian Lasso via a Variable-Coefficient _1 Penalty—0
Gradient-enhanced deep neural network approximations—0
Uncertainty Quantification for Atlas-Level Cell Type Transfer—0
Fully Bayesian inference for latent variable Gaussian process modelsCode0
Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis—0
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS—0
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantificationCode0
Conformal Prediction for STL Runtime Verification—0
Uncertainty Quantification for Rule-Based Models—0
Where Do We Go From Here? Guidelines For Offline Recommender Evaluation—0
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian—0
Homodyned K-distribution: parameter estimation and uncertainty quantification using Bayesian neural networks—0
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals—0
Evaluating Point-Prediction Uncertainties in Neural Networks for Drug Discovery—0
A view on model misspecification in uncertainty quantification—0
SoftBart: Soft Bayesian Additive Regression Trees—0
Strategic Geosteeering Workflow with Uncertainty Quantification and Deep Learning: A Case Study on the Goliat Field—0
History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96Code0
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification—0
Stable Deep MRI Reconstruction using Generative Priors—0
Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate—0
On the optimization and pruning for Bayesian deep learningCode0
SleepMore: Inferring Sleep Duration at Scale via Multi-Device WiFi Sensing—0
On double-descent in uncertainty quantification in overparametrized modelsCode0
Bayesian deep learning framework for uncertainty quantification in high dimensions—0
Bayesian Emulation for Computer Models with Multiple Partial DiscontinuitiesCode0
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty—0
Uncertainty in Extreme Multi-label Classification—0
Packed-Ensembles for Efficient Uncertainty Estimation—0
Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems—0
Conditional Neural Processes for Molecules—0
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