uncertainty quantification

https://www.nist.gov/publications/summary-industrial-verification-validation-and-uncertainty-quantification-procedures

A Summary of Industrial Verification, Validation, and Uncertainty Quantification Procedures in...

Within a variety of CFD applications, their maturity levels can be significantly varied, depending upon e.g., modeling approach and progress of application skil

uncertainty quantification summary industrial verification validation

https://www.asme.org/topics-resources/society-news/asme-news/special-journal-issue-on-advances-in-probabilistic-assessment-and-uncertainty-quantification-methods-for-nuclear-safety

Special Journal Issue on Advances in Probabilistic Assessment and Uncertainty Quantification...

special journal issue advances probabilistic assessment

https://www.arxiv.org/abs/2405.14149

[2405.14149] A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification...

Abstract page for arXiv paper 2405.14149: A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces

importance sampling direct based framework rare

https://openreview.net/forum?id=Z2uLBBck2X&referrer=%5Bthe%20profile%20of%20Matt%20J.%20Kusner%5D(%2Fprofile%3Fid%3D~Matt_J._Kusner2)

Calibrated Physics-Informed Uncertainty Quantification | OpenReview

Simulating complex physical systems is crucial for understanding and predicting phenomena across diverse fields, such as fluid dynamics and heat transfer, as...

uncertainty quantification calibrated physics

https://genu.ai/

Generative Models and Uncertainty Quantification

uncertainty quantification generative models

https://openreview.net/forum?id=4odAwBAhQ2&referrer=%5Bthe%20profile%20of%20Jiarong%20Pan%5D(%2Fprofile%3Fid%3D~Jiarong_Pan1)

Uncertainty Quantification of Knowledge Graph Embedding with Statistical Guarantees | OpenReview

Knowledge Graph Embedding (KGE) methods have been widely used in downstream tasks such as link prediction and question answering. However, a critical...

knowledge graph embedding uncertainty quantification statistical guarantees

https://www.pnnl.gov/cdi-project-uncertainty-quantification-complex-systems

CDI Project: Uncertainty Quantification for Complex Systems | PNNL

uncertainty quantification complex systems cdi project pnnl

https://deepai.org/publication/uncertainty-quantification-for-maxwell-s-eigenproblem-using-isogeometric-analysis

Uncertainty Quantification for Maxwell's Eigenproblem using Isogeometric Analysis | DeepAI

02/08/18 - The electromagnetic field distribution as well as the resonating frequency of various modes in superconducting cavities used in pa...

uncertainty quantification isogeometric analysis maxwell eigenproblem using

https://arxiv.org/abs/2401.00161

[2401.00161] DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling

Abstract page for arXiv paper 2401.00161: DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling

uncertainty quantification uq differentiable hybrid neural

https://deepai.org/publication/discretization-induced-dirichlet-posterior-for-robust-uncertainty-quantification-on-regression

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression |...

08/17/23 - Uncertainty quantification is critical for deploying deep neural networks (DNNs) in real-world applications. An Auxiliary Uncertai...

uncertainty quantification discretization induced dirichlet posterior

https://openreview.net/forum?id=VT4Ovqg0BW&referrer=%5Bthe%20profile%20of%20Ruijia%20Niu%5D(%2Fprofile%3Fid%3D~Ruijia_Niu1)

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs | OpenReview

From common-sense reasoning to domain-specific tasks, parameter-efficient fine tuning (PEFT) methods for large language models (LLMs) have showcased...

uncertainty quantification fine tuning functional level calibrated

https://uqgroup.mit.edu/publications/articles

Journal publications - MIT Uncertainty Quantification Group

The Uncertainty Quantification Group is part of the Aerospace Computational Design Laboratory and affiliated with the Center for Computational Engineering. Our...

uncertainty quantification journal publications mit group

https://openreview.net/forum?id=hvp5I4dDya&referrer=%5Bthe%20profile%20of%20Kaoutar%20El%20Maghraoui%5D(%2Fprofile%3Fid%3D~Kaoutar_El_Maghraoui1)

Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging...

This work investigates the role of the emerging Analog In-memory computing (AIMC) paradigm in enabling Medical AI analysis and improving the certainty of these...

in memory uncertainty quantification analog computing efficient

https://arxiv.org/abs/2505.03788v1

[2505.03788v1] Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding

Abstract page for arXiv paper 2505.03788v1: Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding

uncertainty quantification calibrating multi modal llms

https://www.ornl.gov/publication/genai4uq-software-forward-and-inverse-uncertainty-quantification-using-conditional

GenAI4UQ: A software for forward and inverse uncertainty quantification using conditional...

We introduce GenAI4UQ, a software package for inverse uncertainty quantification in model calibration, parameter estimation, and ensemble forecasting. GenAI4UQ...

uncertainty quantification software forward inverse using

Robuta