https://openreview.net/forum?id=v6NNlubbSQ
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network | OpenReview
New nonparametric uncertainty quantification for single deterministic neural network.
uncertainty quantificationneural networksingledeterministicopenreview
https://ths.rwth-aachen.de/teaching/ss17/practical-course-financial-market/
Practical course: Uncertainty quantification of agent-based computational financial market models |...
practical courseuncertainty quantificationfinancial market
https://impacts.ucar.edu/en/publications/total-uncertainty-quantification-in-inverse-solutions-with-deep-l/
Total uncertainty quantification in inverse solutions with deep learning surrogate models - Impacts...
uncertainty quantification
https://digipedia.tudelft.nl/tutorial/uncertainty-quantification/
Uncertainty Quantification - DigiPedia
Nov 27, 2024 - Your gateway to mastering computational methods, techniques, and tools at your own pace.
uncertainty quantificationdigipedia
https://eprints.soton.ac.uk/483506/
Multi-fidelity machine learning based uncertainty quantification of progressive damage in composite...
machine learninguncertainty quantification
https://www.mdpi.com/2073-4441/12/3/912
Uncertainty Quantification in Machine Learning Modeling for Multi-Step Time Series Forecasting:...
As a revolutionary tool leading to substantial changes across many areas, Machine Learning (ML) techniques have obtained growing attention in the field of...
in machine learninguncertainty quantification
https://math.nist.gov/mcsd/Seminars/2016/2016-02-16-Patrone.html
Uncertainty Quantification of Molecular Dynamics Simulations for Crosslinked Polymers
uncertainty quantificationmolecular dynamicssimulationspolymers
https://arxiv.org/abs/2211.03665
[2211.03665] Machine learning based uncertainty quantification of turbulence model for airfoils
Abstract page for arXiv paper 2211.03665: Machine learning based uncertainty quantification of turbulence model for airfoils
machine learninguncertainty quantification
https://vtechworks.lib.vt.edu/items/4c93fce4-bb63-46a1-96ba-e4eeeb57efc2/full
Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes
We consider uncertainty quantification using surrogate Gaussian processes. We take a previous sampling algorithm and provide a closed form expression of the...
uncertainty quantificationlinearparameterusingsurrogate
https://impact.ornl.gov/en/publications/uncertainty-quantification-of-linear-scaling-machine-learning-and/
Uncertainty Quantification of Linear Scaling, Machine Learning, and Density Functional Theory...
uncertainty quantificationmachine learninglinearscaling
https://dukespace.lib.duke.edu/items/f1291429-6662-4386-8d2f-c5a81f355e0a
Deep Learning Based Uncertainty Quantification for Improving Clinical Diagnostic Tools
deep learninguncertainty quantificationclinical diagnosticbasedimproving
https://inferencesystemsauthority.com/probabilistic-inference-services/
Probabilistic Inference Services: Uncertainty Quantification in Practice
Probabilistic inference services constitute a specialized segment of the broader inference system landscape, distinguished by their explicit quantification of...
uncertainty quantificationprobabilisticinferenceservicespractice
https://digitale-bibliothek.bsh.bund.de/viewer/fulltext/140945/108/
A methodology to uncertainty quantification of essential ocean variables - Digitale Bibliothek des...
uncertainty quantification
https://arxiv.org/abs/1711.04818v2
[1711.04818v2] Uncertainty quantification for radio interferometric imaging: I. proximal MCMC...
Abstract page for arXiv paper 1711.04818v2: Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods
uncertainty quantificationfor radio
https://ir.cwi.nl/pub/22657
Centrum Wiskunde & Informatica: Uncertainty quantification for energy applications
uncertainty quantificationfor energycentrumwiskundeinformatica
https://experts.illinois.edu/en/publications/inverse-uncertainty-quantification-of-trace-physical-model-parame-3/fingerprints/
Inverse uncertainty quantification of trace physical model parameters with model discrepancy -...
uncertainty quantificationinversetracephysicalmodel
https://arxiv.org/abs/2506.00498
[2506.00498] UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical...
Abstract page for arXiv paper 2506.00498: UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
uncertainty quantificationsurface reconstruction
https://pubmed.ncbi.nlm.nih.gov/35822463/
Bottom-Up Evaluation of the Uncertainty of the Quantification of Microplastics Contamination in...
The quantification and comparison of microplastic contamination of sediments are affected by sample heterogeneity and the systematic and random effects...
bottom upof theuncertainty quantificationevaluationmicroplastics
https://collaborate.princeton.edu/en/publications/pre-conditioned-bfgs-based-uncertainty-quantification-in-elastic-/
Pre-conditioned BFGS-based uncertainty quantification in elastic full-waveform inversion -...
uncertainty quantificationpreconditionedbfgsbased
https://research.ugent.be/web/result/project/1a38122d-2a82-11ec-95aa-05ef7abe0c3c/details/en
Research Explorer - (3F023921) Uncertainty Quantification for Carbon-Based Nanodevices via...
Research Explorer - Basic information about research project Uncertainty Quantification for Carbon-Based Nanodevices via Generalized Polynomial Chaos...
research exploreruncertainty quantificationcarbonbasedvia
https://meetings-archive.aps.org/dfd/2008/mf/3/
Toward Uncertainty Quantification in Turbulent Boundary Layer Shock Interactions - Chasing eddies...
The prediction of the interaction between shocks and turbulent boundary layers remains a challenge in computational fluid dynamics. The overall wall pressure an
uncertainty quantificationboundary layertowardturbulent
https://www.vanderbilt.edu/reliability-studies/projects/ling_y/
Uncertainty Quantification in Time-Dependent Reliability Analysis | Reliability Studies |...
Y.Ling and S. Mahadevan Civil and Environmental Engineering, Vanderbilt University VU Station B 351831, Nashville, TN 37235; 615-322-3040; fax 615-322-3365...
uncertainty quantificationreliability analysistimedependentstudies
https://katalog.bibliothek.kit.edu/bib/1160631
Details for: Uncertainty Quantification : An Accelerated Course with Advanced Applications in...
OPAC der KIT-Bibliothek
uncertainty quantificationaccelerated courseadvanced applicationsdetails
https://math.oregonstate.edu/mathematics-news-events/all-events/human-behavior-and-uncertainty-quantification-in-the-context-of
Human behavior and uncertainty quantification in the context of epidemiological models | Department...
Nov 6, 2025 - Human behavior has been attributed as one of the major reasons why models perform poorly when forecasting. The first half of this talk will focus on modeling...
human behavioruncertainty quantification
https://impact.ornl.gov/en/publications/uncertainty-quantification-in-linear-interpolation-for-isosurface/
Uncertainty quantification in linear interpolation for isosurface extraction - Oak Ridge National...
uncertainty quantificationlinear interpolationoak ridge
https://digitale-bibliothek.bsh.bund.de/viewer/fulltext/188553/1/
A methodology to uncertainty quantification of essential ocean variables - Digitale Bibliothek des...
uncertainty quantification
https://publications.rwth-aachen.de/record/1029691/comments
Infoprop: Precise Long-Horizon Planning With Accumulated Uncertainty Quantification Using Learned...
uncertainty quantificationpreciselonghorizonplanning
https://www.ornl.gov/publication/uncertainty-quantification-neutrino-opacities-core-collapse-supernovae-and-neutron-star
Uncertainty quantification for neutrino opacities in core-collapse supernovae and neutron star...
We perform an extensive study of the correlations between the neutrino-nucleon inverse mean free paths (IMFPs) and the underlying equation of states (EoSs)....
uncertainty quantification
https://guilleminot.pratt.duke.edu/people
Current Members | Uncertainty Quantification in Computational Mechanics
current membersuncertainty quantificationcomputationalmechanics
https://arxiv.org/abs/2206.14956
[2206.14956] Uncertainty quantification of transition operators in the empirical shell model
Abstract page for arXiv paper 2206.14956: Uncertainty quantification of transition operators in the empirical shell model
uncertainty quantification
https://slim.gatech.edu/content/amortized-normalizing-flows-transcranial-ultrasound-uncertainty-quantification
Amortized normalizing flows for transcranial ultrasound with uncertainty quantification | Seismic...
normalizing flowsuncertainty quantificationtranscranialultrasoundseismic
https://scholars.cityu.edu.hk/en/projects/causal-invariant-uncertainty-quantification-for-reliable-multimod/
Causal-Invariant Uncertainty Quantification for Reliable Multimodal Large Language Models - CityUHK...
large language modelsuncertainty quantificationcausalinvariant
https://impact.ornl.gov/en/publications/unresolved-resonance-parameter-evaluation-and-uncertainty-quantif/
Unresolved resonance parameter evaluation and uncertainty quantification of n+181Ta reactions -...
uncertainty quantificationunresolvedresonanceparameterevaluation
https://researchconnect.buffalo.edu/en/publications/uncertainty-quantification-in-surrogate-models-based-on-pattern-c/
Uncertainty quantification in Surrogate models based on pattern classification of cross-validation...
uncertainty quantification
https://www.drps.ed.ac.uk/25-26/dpt/cxmath11246.htm
Course Catalogue - Numerical Methods for Uncertainty Quantification (MATH11246)
course cataloguenumerical methodsuncertainty quantification
https://pure.psu.edu/en/publications/uncertainty-quantification-in-vehicle-content-optimization-for-ge/
Uncertainty quantification in vehicle content optimization for general motors - Penn State
for general motorsuncertainty quantificationcontent optimizationvehicle
https://repository.lib.ncsu.edu/items/d014f780-9b11-4838-9d98-d6565b0d6200
Parameter estimation and uncertainty quantification for an epidemic model
parameter estimationuncertainty quantificationepidemicmodel
https://www.ideals.illinois.edu/items/107335
M/NEM devices and uncertainty quantification | IDEALS
uncertainty quantificationnemdevicesideals
https://slim.gatech.edu/content/low-cost-uncertainty-quantification-large-scale-inverse-problems
Low-cost uncertainty quantification for large-scale inverse problems | Seismic Laboratory for...
low costuncertainty quantificationlarge scaleinverse problems
https://www.ias.tum.de/en/ias/research-areas/advanced-computation-and-modeling/alumni-focus-groups/uncertainty-quantification-and-predictive-modeling/
Uncertainty Quantification and Predictive Modeling - Institute for Advanced Study (IAS)
institute for advanced studyuncertainty quantificationpredictive modelingias
https://arxiv.org/abs/2202.03101v2
[2202.03101v2] Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Abstract page for arXiv paper 2202.03101v2: Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
uncertainty quantificationsingledeterministicneuralnetwork
https://arxiv.org/abs/2603.13646
[2603.13646] Surrogate-Based Bayesian Inference: Uncertainty Quantification and Active Learning
Abstract page for arXiv paper 2603.13646: Surrogate-Based Bayesian Inference: Uncertainty Quantification and Active Learning
bayesian inferenceuncertainty quantificationsurrogatebased
https://arxiv.org/abs/2502.07104v1
[2502.07104v1] Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials
Abstract page for arXiv paper 2502.07104v1: Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials
uncertainty quantificationmachinelearnedpotentials
https://research.monash.edu/en/publications/spatial-statistical-downscaling-with-uncertainty-quantification-i/
Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling - Monash...
uncertainty quantificationspatialstatisticaldownscalingbiodiversity
https://www.unsw.edu.au/science/our-schools/maths/engage-with-us/seminars/2026/Uncertainty-quantification-using-importance-sampled-quasi-Monte-Carlo-with-dimension-independent-convergence-rates
Uncertainty quantification using importance-sampled quasi-Monte Carlo with dimension-independent...
uncertainty quantificationmonte carlousingimportancesampled
https://uq.math.cnrs.fr/mars20
Working meeting "Uncertainty quantification and machine learning" [RT UQ - GdR MASCOT-NUM]
uncertainty quantificationmachine learning
https://portal.fis.tum.de/en/organisations/associate-professorship-of-scientific-computing-and-uncertainty-q/
Associate Professorship of Scientific Computing and Uncertainty Quantification - Technical...
scientific computinguncertainty quantificationassociateprofessorshiptechnical
https://digitale-bibliothek.bsh.bund.de/viewer/fulltext/5710/100/
A methodology to uncertainty quantification of essential ocean variables - Digitale Bibliothek des...
uncertainty quantification
https://engineering.purdue.edu/CYNICS/research/uqmv
Uncertainty Quantification (UQ) - Cybersecurity and Analytics for Industrial Control Systems -...
uncertainty quantificationfor industrialuqcybersecurityanalytics
https://repository.lib.ncsu.edu/items/d63f7f19-3bf7-464c-9667-1585fa74b372
Surrogate and Reduced-Order Models for Parameter Inference and Uncertainty Quantification with...
uncertainty quantificationsurrogatereducedordermodels
https://experts.colorado.edu/display/pubid_310616
ADAPTIVE SELECTION OF SAMPLING POINTS FOR UNCERTAINTY QUANTIFICATION | CU Experts | CU Boulder
uncertainty quantificationadaptiveselectionsamplingpoints
https://courses.warwick.ac.uk/modules/2024/PX914-15
PX914-15 Predictive Modelling and Uncertainty Quantification - Module Catalogue
predictive modellinguncertainty quantificationmodulecatalogue
https://par.nsf.gov/biblio/10566643-uncertainty-quantification-peec-method-physics-informed-neural-networks-based-polynomial-chaos-expansion
Uncertainty Quantification in PEEC Method: A Physics-Informed Neural Networks-Based Polynomial...
This page contains metadata information for the record with PAR ID 10566643
uncertainty quantification
https://spiral.imperial.ac.uk/entities/publication/d3ca27c9-5557-41de-915a-20af9125ab2f
Uncertainty quantification in continuous fragmentation airburst models
As evidenced by the Chelyabinsk and Tunguska airburst events in Russia, decameter-scale Near-Earth Objects (NEOs) can pose a hazard to human life and...
uncertainty quantificationcontinuousfragmentationmodels
https://www.digilab.ai/
AI Decision Intelligence Platform | Uncertainty Quantification | digiLab
We help organisations across energy, engineering, and transport become AI-enabled in their digital transformation journey.
decision intelligenceuncertainty quantificationplatformdigilab
https://ltu.diva-portal.org/smash/record.jsf?pid=diva2:1306435
Uncertainty Quantification of Aerodynamic Icing Losses in Wind Turbine With Polynomial Chaos...
uncertainty quantification
https://arxiv.org/abs/2602.21054v1
[2602.21054v1] VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation
Abstract page for arXiv paper 2602.21054v1: VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation
uncertainty quantificationvisionaware
https://courses.warwick.ac.uk/modules/2020/PX914-15
PX914-15 Predictive Modelling and Uncertainty Quantification - Module Catalogue
predictive modellinguncertainty quantificationmodulecatalogue
https://geomet.engineering.queensu.ca/2022/07/11/nov-2021-paper-on-uncertainty-quantification-at-any-volume-without-geostatistical-simulation/
[Nov 2021] Paper on uncertainty quantification at any volume without geostatistical simulation |...
uncertainty quantification
https://meetings-archive.aps.org/dpp/2025/go04/11/
Statistical inference of anomalous thermal transport with uncertainty quantification for...
The critical task of inferring anomalous cross-field transport coefficients, which control the particle and power flux to the outboard wall, is addressed in sim
statistical inferenceuncertainty quantificationanomalousthermaltransport
https://pure.psu.edu/en/publications/challenges-in-estimation-uncertainty-quantification-and-elicitati/
Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling - Penn...
uncertainty quantificationchallengesestimation
https://par.nsf.gov/biblio/10469074-uncertainty-quantification-inverse-models-hydrology
Uncertainty Quantification in Inverse Models in Hydrology | NSF Public Access Repository
This page contains metadata information for the record with PAR ID 10469074
uncertainty quantificationpublic accessinversemodelshydrology
https://slim.gatech.edu/content/learned-imaging-constraints-and-uncertainty-quantification-0
Learned imaging with constraints and uncertainty quantification | Seismic Laboratory for Imaging...
uncertainty quantificationlearnedimagingconstraintsseismic
https://csss.uw.edu/seminars/uncertainty-quantification-and-calibration-language-models
Uncertainty Quantification and Calibration in Language Models | Center for Statistics and the...
uncertainty quantificationlanguage modelscenter forcalibration
https://impact.ornl.gov/en/publications/neutrino-deuteron-scattering-uncertainty-quantification-and-new-l/
Neutrino-deuteron scattering: Uncertainty quantification and new L1,A constraints - Oak Ridge...
uncertainty quantification
https://publikationen.bibliothek.kit.edu/1000182304
Surrogate-based uncertainty quantification and parameter optim...
Der westafrikanische Monsun (WAM) ist ein bedeutendes meteorologisches System mit weitreichenden Auswirkungen, dessen komplexe Wechselwirkungen Wetter- und Kli
uncertainty quantificationsurrogatebasedparameteroptim
https://guilleminot.pratt.duke.edu/news/hao-zhang-wins-senol-utku-award
Hao Zhang wins Senol Utku Award | Uncertainty Quantification in Computational Mechanics
Hao Zhang was awarded the Senol Utku Award (with High Distinction), which promotes early writing of research articles among graduate students by selecting the...
hao zhanguncertainty quantificationwinsutku
https://guilleminot.pratt.duke.edu/
Uncertainty Quantification in Computational Mechanics
Our research focuses on Stochastic Modeling and Uncertainty Quantification (UQ) in Computational Mechanics and Materials Science. We address a wide array of...
uncertainty quantificationcomputationalmechanics
https://pure.psu.edu/en/publications/autodeuq-automated-deep-ensemble-with-uncertainty-quantification/
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification - Penn State
uncertainty quantificationautomateddeepensemblepenn
https://dspace.mit.edu/handle/1721.1/61711?show=full
Nonlinear Model Reduction for Uncertainty Quantification in Large-Scale Inverse Problems
uncertainty quantificationlarge scalenonlinearmodelreduction
https://impact.ornl.gov/en/publications/uncertainty-quantification-of-deep-neural-network-based-turbulenc/
Uncertainty quantification of deep neural network-based turbulence model for reactor transient...
deep neural networkuncertainty quantification
https://experts.illinois.edu/en/publications/a-distributionally-robust-perspective-on-uncertainty-quantificati/
A distributionally robust perspective on uncertainty quantification and chance constrained...
uncertainty quantificationrobustperspectivechanceconstrained
https://openscholarship.wustl.edu/eng_etds/253/
"Uncertainty Quantification of Wall-Modeled Large Eddy Simulation (WMLE" by Zuoxian Hou
In this thesis, a non-intrusive uncertainty quantification (UQ) method is used to improve the accuracy of a wall-modeled large eddy simulation (WMLES) model....
uncertainty quantification
https://edoc.ub.uni-muenchen.de/36738/
Uncertainty quantification in data-centric machine learning
uncertainty quantificationdatacentricmachinelearning
https://os.copernicus.org/articles/17/919/2021/
OS - Oil spill model uncertainty quantification using an atmospheric ensemble
Abstract. We investigate the impact of atmospheric forcing uncertainties on the prediction of the dispersion of pollutants in the marine environment. Ensemble...
oil spilluncertainty quantificationosmodelusing
https://arxiv.org/abs/2502.02870
[2502.02870] Uncertainty Quantification with the Empirical Neural Tangent Kernel
Abstract page for arXiv paper 2502.02870: Uncertainty Quantification with the Empirical Neural Tangent Kernel
uncertainty quantificationempiricalneuraltangentkernel
https://digitale-bibliothek.bsh.bund.de/viewer/fulltext/188553/15/
A methodology to uncertainty quantification of essential ocean variables - Digitale Bibliothek des...
uncertainty quantification
https://dspace.mit.edu/handle/1721.1/138961?show=full
Uncertainty Quantification and Structure Discovery for Scalable Behavior Science
uncertainty quantificationstructurediscoveryscalablebehavior
https://researchconnect.buffalo.edu/en/publications/comparison-of-linearization-and-graph-clustering-methods-for-unce/
Comparison of linearization and graph clustering methods for uncertainty quantification of large...
uncertainty quantificationcomparisongraph
https://shop.elsevier.com/books/uncertainty-quantification-in-multiscale-materials-modeling/wang/978-0-08-102941-1
Uncertainty Quantification in Multiscale Materials Modeling - 1st Edition | Elsevier Shop
uncertainty quantificationmaterials modelingmultiscaleeditionelsevier
https://meetings-archive.aps.org/dpp/2009/up8/149/
Analysis of Radiative Shock Experiments and Simulations Using Uncertainty Quantification Techniques...
The CRASH Center at the University of Michigan was established to study the properties of radiative shocks, using both radiation hydrodynamic simulations and ex
uncertainty quantificationanalysisshockexperiments
https://repository.tudelft.nl/record/uuid:7cd5a48b-182c-4e52-bcee-d491172f5df3
Towards comprehensive uncertainty quantification in direct-use geothermal systems | TU Delft...
uncertainty quantificationdirect usegeothermal systemstowardscomprehensive
https://arxiv.org/abs/2204.02671
[2204.02671] Behavioral uncertainty quantification for data-driven control
Abstract page for arXiv paper 2204.02671: Behavioral uncertainty quantification for data-driven control
uncertainty quantificationfor databehavioraldrivencontrol
https://www.nist.gov/publications/uncertainty-quantification-and-propagation-pyrolysis-kinetics-parameters-used-fire
Uncertainty Quantification and Propagation of Pyrolysis Kinetics Parameters used in Fire Models |...
uncertainty quantification
https://experts.arizona.edu/en/publications/data-driven-uncertainty-quantification-of-the-wave-telescope-tech/
Data-driven Uncertainty Quantification of the Wave Telescope Technique: General Equations and...
data drivenuncertainty quantificationof the
https://repository.tudelft.nl/record/uuid:96b4ea5a-9bcd-4345-9775-83b77821a8e6
Towards efficient uncertainty quantification with high-resolution morphodynamic models | TU Delft...
uncertainty quantificationhigh resolutiontowardsefficient
https://meetings-archive.aps.org/dfd/2018/q32/
Uncertainty Quantification - The Use of Approximate Inertial Manifolds for Chaotic Systems...
Archive of meeting recordings and transcripts
uncertainty quantificationthe use
https://experts.illinois.edu/en/publications/inverse-uncertainty-quantification-of-trace-physical-model-parame-3/
Inverse uncertainty quantification of trace physical model parameters with model discrepancy -...
uncertainty quantificationinversetracephysicalmodel
https://scholarworks.gsu.edu/items/a0748578-ec89-4170-9eed-45c5bad2a6cd
Risk Analysis and Uncertainty Quantification in Insurance Ratemaking
risk analysisuncertainty quantificationinsurance
https://slim.gatech.edu/content/faster-uncertainty-quantification-inverse-problems-conditional-normalizing-flows
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows | Seismic...
uncertainty quantificationinverse problemsnormalizing flowsfaster
https://store.astm.org/ssms20160007.html
Automated Uncertainty Quantification Through Information Fusion in Manufacturing Processes
uncertainty quantificationinformation fusionautomatedmanufacturingprocesses
https://www.simtech2023.uni-stuttgart.de/program/ms/ms5/ms5_sudret/
An introduction to surrogate modelling for uncertainty quantification in computational sciences |...
an introduction touncertainty quantificationsurrogatemodelling
https://amt.copernicus.org/preprints/amt-2021-328/
AMTD - Bayesian uncertainty quantification in aerosol optical depth retrieval applied to TROPOMI...
Abstract. We present here an aerosol model selection based statistical method in Bayesian framework for retrieving atmospheric aerosol optical depth (AOD) and...
uncertainty quantification
https://digitale-bibliothek.bsh.bund.de/viewer/fulltext/188553/6/
A methodology to uncertainty quantification of essential ocean variables - Digitale Bibliothek des...
uncertainty quantification
https://pure.psu.edu/en/publications/applying-uncertainty-quantification-to-structural-systems-paramet/
Applying uncertainty quantification to structural systems: Parameter reduction for evaluating model...
uncertainty quantificationstructural systemsapplying
https://www.mdpi.com/books/reprint/2166-uncertainty-quantification-techniques-in-statistics
Uncertainty Quantification Techniques in Statistics | MDPI Books
Uncertainty quantification (UQ) is a mainstream research topic in applied mathematics and statistics. To identify UQ problems, diverse modern techniques for...
uncertainty quantificationtechniquesstatisticsmdpibooks
https://publica.fraunhofer.de/entities/event/ea491d25-fa80-47ca-a41c-48ab9ea01e5c
International Conference on Uncertainty Quantification in Computational Sciences and Engineering...
international conferenceuncertainty quantificationcomputational sciencesengineering
https://eprints.soton.ac.uk/509204/
Uncertainty quantification of the premixed combustion characteristics of NH3/H2/N2 fuel blends -...
uncertainty quantificationof the
https://digitale-bibliothek.bsh.bund.de/viewer/metadata/191351/1/
A methodology to uncertainty quantification of essential ocean variables - Digitale Bibliothek des...
uncertainty quantification
https://github.com/IBM/UQ360
GitHub - IBM/UQ360: Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit...
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning...
uncertainty quantification