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Uncertainty Quantification

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Showing 1851–1900 of 2366 papers

TitleStatusHype
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer—0
Gamifying optimization: a Wasserstein distance-based analysis of human search—0
On Convergence of Federated Averaging Langevin Dynamics—0
Dimension-Free Average Treatment Effect Inference with Deep Neural Networks—0
Improving accuracy and uncertainty quantification of deep learning based quantitative MRI using Monte Carlo dropoutCode0
Evaluation of mathematical questioning strategies using data collected through weak supervision—0
Improving mathematical questioning in teacher training—0
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence—0
Linear-Time Probabilistic Solution of Boundary Value Problems—0
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks—0
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification—0
Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports—0
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors—0
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetryCode0
Aggregation of Models, Choices, Beliefs, and Preferences—0
Probabilistic Deep Learning with Generalised Variational Inference—0
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations—0
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot SettingsCode0
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach—0
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network—0
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling—0
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks—0
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes—0
Statistical Perspectives on Reliability of Artificial Intelligence Systems—0
Uncertainty Quantification in Neural Differential Equations—0
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantificationCode0
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning—0
Source-to-Source Automatic Differentiation of OpenMP Parallel Loops—0
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification—0
Uncertainty quantification for ptychography using normalizing flows—0
Aligned Multi-Task Gaussian Process—0
Data-driven Uncertainty Quantification in Computational Human Head Models—0
Probabilistic Autoencoder using Fisher Information—0
Locally Differentially Private Bayesian Inference—0
Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN—0
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification—0
A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures—0
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte CarloCode0
Quantifying Epistemic Uncertainty in Deep Learning—0
Merging Two Cultures: Deep and Statistical Learning—0
Conditional Variational Autoencoder for Learned Image Reconstruction—0
Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise—0
Probabilistic ODE Solutions in Millions of Dimensions—0
Statistical Finite Elements via Langevin DynamicsCode0
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference—0
Extracting Dynamical Models from Data—0
Calibrate your listeners! Robust communication-based training for pragmatic speakersCode0
Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources—0
Uncertainty quantification in the Bradley-Terry-Luce model—0
Is MC Dropout Bayesian?—0
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