uncertainty quantification

https://research.itu.edu.tr/tr/publications/uncertainty-quantification-of-multi-source-hydrological-data-prod/ Uncertainty quantification of multi-source hydrological data products for the improvement of water... uncertainty quantification multi source https://tldr.takara.ai/p/2506.00245 Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity... Hallucination in large language models (LLMs) can be detected by assessing the uncertainty of model outputs, typically measured using entropy. Semantic entro... uncertainty quantification beyond semantic entropy boosting https://ldrd-annual.llnl.gov/archives/ldrd-annual-2021/project-highlights/high-explosives-physics-chemistry-and-material-science/uncertainty-quantification-and-experimental-design-using-quantitative-forward-model-kinematic-x-ray-diffraction Uncertainty Quantification and Experimental Design Using a Quantitative Forward Model for Kinematic... Executive Summary We are developing a simulation framework to model kinematic x-ray diffraction that includes the necessary physics and discretization schema... uncertainty quantification experimental design https://www.sintef.no/en/publications/publication/0198cc71831f-b986f809-a5a8-4b74-9e4b-f892adedd9d7/ Uncertainty quantification for linear hyperbolic equations with stochastic process or random field... uncertainty quantification https://research-hub.nlr.gov/en/publications/a-priori-uncertainty-quantification-of-reacting-turbulence-closur/fingerprints/ a priori Uncertainty Quantification of Reacting Turbulence Closure Models Using Bayesian Neural... a priori uncertainty quantification https://kar.kent.ac.uk/108677/ Efficient Uncertainty Quantification for Multilabel Text Classification - Kent Academic Repository uncertainty quantification text classification efficient kent academic https://scholar.afit.edu/etd/2184/ "Uncertainty Quantification of Multi-Component Isotope-Separation Casca" by Khoi D. Tran Monte Carlo uncertainty quantification (UQ) capability has been added to a code for modeling multi-component steady-state isotope-separation enrichment... uncertainty quantification multi component https://jobs.npl.co.uk/vacancies/2742/senior-scientist--mri-nmr-metrology--uncertainty-quantification.html Senior Scientist - MRI/NMR Metrology & Uncertainty Quantification in Teddington, United Kingdom -... senior scientist uncertainty quantification mri nmr metrology https://conservancy.umn.edu/items/a67bbb18-8e34-423f-acaa-8314093449d4 Development of Interatomic Potentials with Uncertainty Quantification: Applications to... Atomistic simulation is a powerful computational tool to investigate materials on the microscopic scale and is widely employed to study a large variety of... interatomic potentials uncertainty quantification development applications 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 quantification for radio https://discovery.dundee.ac.uk/en/activities/siamasa-journal-on-uncertainty-quantification-journal/ SIAM/ASA Journal on Uncertainty Quantification (Journal) - University of Dundee Discovery Portal university of dundee uncertainty quantification siam asa journal https://iris.enea.it/handle/20.500.12079/63872 A Bayesian framework of inverse uncertainty quantification with principal component analysis and... principal component analysis uncertainty quantification 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 quantification boundary layer toward turbulent https://openreview.net/forum?id=S1lXEH_E9N Deep posterior sampling: Uncertainty quantification for large scale inverse problems | OpenReview Use WGAN to sample from the posterior in CT image reconstruction uncertainty quantification large scale deep posterior sampling https://www.researchwithnj.com/en/publications/privacy-preserving-federated-learning-and-uncertainty-quantificat/fingerprints/ Privacy-preserving Federated Learning and Uncertainty Quantification in Medical Imaging -... federated learning uncertainty quantification privacy preserving medical https://juliahub.com/tags/uncertainty-quantification Uncertainty Quantification - Tag - JuliaHub News, Events, and Videos about Uncertainty Quantification from JuliaHub's content team. uncertainty quantification tag juliahub https://strathprints.strath.ac.uk/86216/ A Bayesian Augmented-Learning framework for spectral uncertainty quantification of incomplete... augmented learning uncertainty quantification bayesian framework 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 quantification model parameters inverse trace physical https://indico.math.cnrs.fr/event/10393/ Towards knowledge discovery in imaging using (deep) learning: Uncertainty quantification and... In this talk, I will introduce various unsupervised risk estimators for inverse problems. These estimators can handle the noise in the measurement data and... towards knowledge in imaging deep learning uncertainty quantification discovery https://researchr.org/publication/MorganTWN16 Input uncertainty quantification for simulation models with piecewise-constant non-stationary... uncertainty quantification simulation models input https://repositum.tuwien.at/handle/20.500.12708/171454?mode=full reposiTUm: Development of Surrogate Models for Uncertainty Quantification in Manufacturing... uncertainty quantification development surrogate models manufacturing https://deepai.org/publication/uncertainty-quantification-of-sparse-travel-demand-prediction-with-spatial-temporal-graph-neural-networks Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural... Aug 11, 2022 - 08/11/22 - Origin-Destination (O-D) travel demand prediction is a fundamental challenge in transportation. Recently, spatial-temporal deep le... uncertainty quantification travel demand https://www.iahr.org/library/infor?pid=17710 Uncertainty Quantification in 2D Morphodynamic Model. Application to the Gironde Estuary uncertainty quantification model application to the https://agu.confex.com/agu/fm14/webprogram/Session4943.html Session: Uncertainty Quantification and Reduction in Hydrogeological Forecasting and Inversion III... uncertainty quantification session reduction forecasting inversion https://gpss.cc/gpss19/getting_there Getting There | Gaussian Process and Uncertainty Quantification Summer School, 2019 Gaussian Process Summer School getting there uncertainty quantification summer school gaussian process https://dspace.mit.edu/handle/1721.1/151210?show=full Trustworthy Learning and Uncertainty Quantification under Constraints uncertainty quantification trustworthy learning constraints https://pure.psu.edu/en/publications/efficient-input-uncertainty-quantification-for-regenerative-simul/ Efficient Input Uncertainty Quantification for Regenerative Simulation - Penn State uncertainty quantification efficient input regenerative simulation https://mathlab.sissa.it/pubblication/reduced-basis-methods-uncertainty-quantification Reduced Basis Methods for Uncertainty Quantification | mathLab innovating with mathematics uncertainty quantification reduced basis methods mathlab https://cordis.europa.eu/project/id/101072546 Data-driven simulation, uncertainty quantification and optimization for hyperbolic and kinetic... Europe faces major challenges in science, society and industry, induced by the complexity of our dynamically evolving world. To tackle these challenges,... data driven uncertainty quantification simulation optimization hyperbolic https://www.lisbonsymposia.org/20thlxsymp/piv-uncertainty-quantification-and-performance/68 PIV Uncertainty Quantification and Performance, 68 uncertainty quantification piv performance https://robustmathematicalmodeling.blogspot.com/2011/11/uncertainty-quantification-at.html The Robust Mathematical Modeling Blog: Uncertainty Quantification at the Statistical and Applied... Here are different videos available from the Statistical and Applied Mathematical Sciences Institute at Duke University that features se... mathematical modeling uncertainty quantification robust blog 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 explorer uncertainty quantification carbon based via https://digitale-bibliothek.bsh.bund.de/viewer/fulltext/69276/82/ A methodology to uncertainty quantification of essential ocean variables - Digitale Bibliothek des... essential ocean variables uncertainty quantification https://awesome-mlss.com/archivesummerschool/gpss2024 Gaussian Process and Uncertainty Quantification Summer School Sep 9, 2026 - Find machine learning and artificial intelligence summer schools worldwide by topics, locations, dates, and deadlines. Natural Language Processing, Computer... uncertainty quantification gaussian process summer school https://slim.gatech.edu/content/neural-wave-based-imaging-amortized-uncertainty-quantification-0 Neural wave-based imaging with amortized uncertainty quantification | Seismic Laboratory for... uncertainty quantification neural wave based imaging https://www.francescogili.nl/tag/uncertainty-quantification/ Uncertainty Quantification | Francesco Gili uncertainty quantification francesco gili https://awesome-mlss.com/archivesummerschool/gpuqss2019 Gaussian Process and Uncertainty Quantification Summer School Sep 9, 2026 - Find machine learning and artificial intelligence summer schools worldwide by topics, locations, dates, and deadlines. Natural Language Processing, Computer... uncertainty quantification gaussian process summer school https://hkxb.buaa.edu.cn/EN/10.7527/S1000-6893.2024.30366 Uncertainty quantification of leading-edge radius machining error of compressor cascade considering... uncertainty quantification leading edge https://repository.lib.ncsu.edu/items/fa9ebeb4-5c0f-4a87-ac03-7a2397029c7b Efficient Uncertainty Quantification for a Fast-Spectrum Generation IV Reactor System This research is part of on-going research on the management of uncertainties in simulator predictions for Generation IV systems via optimum experimental... uncertainty quantification generation iv efficient https://www.sintef.no/en/publications/publication/0198cc81d12e-b611203d-f0e2-4db6-a0e5-3dfa40bd94eb/ Closure Law Model Uncertainty Quantification - SINTEF uncertainty quantification closure law model sintef https://avesis.metu.edu.tr/yayin/a3e9e103-f554-4637-8900-8bb4df0c5762/uncertainty-quantification-and-implementation-of-local-volatility-surfaces-in-bayesian-framework Uncertainty Quantification and Implementation of Local Volatility Surfaces in Bayesian Framework |... uncertainty quantification implementation https://research.nvidia.com/index.php/publication/2021-05_fast-uncertainty-quantification-deep-object-pose-estimation Fast Uncertainty Quantification for Deep Object Pose Estimation | Research Deep learning-based object pose estimators are often unreliable and overconfident especially when the input image is outside the training domain, for instance,... uncertainty quantification pose estimation fast deep object https://wwwold.mathematik.tu-dortmund.de/lsix/events/UQ18/schedule.php Schedule - 3rd GAMM AGUQ Workshop on Uncertainty Quantification, TU Dortmund, 2018 uncertainty quantification tu dortmund schedule gamm workshop https://vtechworks.lib.vt.edu/items/559a4bbf-13a4-40f8-946b-3c230e916a25 Bayesian Uncertainty Quantification while Leveraging Multiple Computer Model Runs In the face of spatially correlated data, Gaussian process regression is a very common modeling approach. Given observational data, kriging equations will... uncertainty quantification computer model bayesian leveraging multiple https://helmholtz-imaging.de/project/uqob/ UQOB – Uncertainty Quantification in Object-detection Benchmark – helmholtz-imaging.de uncertainty quantification object detection 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 quantification techniques statistics mdpi books https://pure.ul.ie/en/publications/assessing-the-effect-of-network-order-on-epistemic-uncertainty-qu/ Assessing the Effect of Network Order on Epistemic Uncertainty Quantification for Reduced-order... the effect order on https://lorenzopareschi.blogspot.com/2025/08/multi-order-monte-carlo-imex.html Lorenzo Pareschi: Multi-Order Monte Carlo IMEX hierarchies for uncertainty quantification in... Giulia Bertaglia, Walter Boscheri, Lorenzo Pareschi (preprint arXiv:2508.20187 ) We introduce a novel Multi-Order Monte Carlo approach for u... lorenzo pareschi monte carlo https://arxiv.org/abs/1807.07485 [1807.07485] Enhanced adaptive surrogate models with applications in uncertainty quantification for... Abstract page for arXiv paper 1807.07485: Enhanced adaptive surrogate models with applications in uncertainty quantification for nanoplasmonics https://oceanuq.org/directory/roberto-sabia Roberto Sabia | Ocean Uncertainty Quantification roberto sabia ocean uncertainty quantification https://pure.seoultech.ac.kr/en/publications/validation-and-measurement-uncertainty-of-gc-ms-quantification-me/ Validation and measurement uncertainty of GC-MS quantification method for nicotine in dried... https://arxiv.org/html/2601.19256v1 E-QRGMM: Efficient Generative Metamodeling for Covariate-Dependent Uncertainty Quantification e quantification https://impact.ornl.gov/en/publications/quantification-of-the-scale-61-eigenvalue-uncertainty-due-to-cros/ Quantification of the SCALE 6.1 eigenvalue uncertainty due to cross section uncertainties for... https://aeroastro.mit.edu/publications/d-j-gondelach-r-linares-p-m-siew-atmospheric-density-uncertainty-quantification-for-satellite-conjunction-assessment-journal-of-guidance-control-and-dynamics-07315090-2022-1-9-print/ D. J. Gondelach, R. Linares, P. M. Siew "Atmospheric Density Uncertainty Quantification for... https://impact.ornl.gov/en/publications/exploring-a-two-level-control-variate-monte-carlo-method-for-unce/ Exploring A Two-Level, Control-Variate Monte Carlo Method for Uncertainty Quantification in... https://indico.cern.ch/event/1514154/contributions/6620167/ UQ4ML | COMETA Workshop on Uncertainty Quantification for Machine Learning (15-September 18, 2025):... UQ4ML | COMETA Workshop on Uncertainty Quantification for Machine Learning Mathematicians and physicists perspectives In recent years, the landscape of... https://indico.cern.ch/event/1514154/contributions/6670821/ UQ4ML | COMETA Workshop on Uncertainty Quantification for Machine Learning (15-September 18, 2025):... UQ4ML | COMETA Workshop on Uncertainty Quantification for Machine Learning Mathematicians and physicists perspectives In recent years, the landscape of... https://eartharxiv.org/repository/view/10196/ A Bayesian Approach to Hyperspectral Leaf Trait Prediction with uncertainty quantification bayesian approach hyperspectral https://infoscience.epfl.ch/entities/publication/c2af0610-b5ae-42f2-b1cc-c5c88cbd8e6c Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors The majority of uncertainty quantification methods for deep object detectors are based on the network output, such as sampling strategies like Monte-Carlo... gradient based quantification uncertainty deep

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