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Uncertainty Quantification

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Showing 1426–1450 of 2366 papers

TitleStatusHype
Function-Space Regularization for Deep Bayesian Classification—0
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models—0
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data—0
Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling—0
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling—0
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness—0
Direct segmentation of brain white matter tracts in diffusion MRI—0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Last layer state space model for representation learning and uncertainty quantification—0
Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciencesCode0
Morse Neural Networks for Uncertainty Quantification—0
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
Hybrid uncertainty quantification for selective text classification in ambiguous tasks—0
Learning thermodynamically constrained equations of state with uncertaintyCode0
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural NetworksCode0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
Spatiotemporal Besov Priors for Bayesian Inverse Problems—0
Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems—0
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human SupervisorsCode0
Enhanced multi-fidelity modelling for digital twin and uncertainty quantification—0
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models—0
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic AgentsCode0
MUBen: Benchmarking the Uncertainty of Molecular Representation ModelsCode0
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems—0
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