Image de couverture de livre

Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wu, Xu, Moloko, Lesego E., Bokov, Pavel M., Delipei, Gregory K., Kaizer, Joshua, Ivanov, Kostadin N.
Format:	Preprint
Publié:	2025
Sujets:	Systems and Control Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Why Do We Need Warm-up? A Theoretical Perspective
par: Alimisis, Foivos, et autres
Publié: (2025)

Do We Need Asynchronous SGD? On the Near-Optimality of Synchronous Methods
par: Begunov, Grigory, et autres
Publié: (2026)

Do We Still Need Controlled Vocabulary? Of Course, We Do! But How Do We Get It: The Roles for Text Analysis Softwares.
par: Greenfield, Rich
Publié: (1997)

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference
par: Chan, Timothy C. Y., et autres
Publié: (2026)

Training Needs Assessment: Where We Are and Where We Should Go
par: Rodrigo Rezende Ferreira
Publié: (2013)

Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting
par: Kaviani, Farzan, et autres
Publié: (2024)

What Do We Need for an Agentic Society?
par: Ko, Kwon, et autres
Publié: (2026)

We Urgently Need Intrinsically Kind Machines
par: Hewson, Joshua T. S.
Publié: (2024)

How Many Grid-Forming Converters Do We Need? A Perspective From Small Signal Stability and Power Grid Strength
par: Xin, Huanhai, et autres
Publié: (2022)

What We Publish and What We Do Not
par: David G. Amaral
Publié: (2025)

Research: What We Need, and What We Get.
par: Converse, W. R.
Publié: (1984)

We Need to Do This
par: Zabjek, Alexandra
Publié: (2023)

The Vertical Challenge of Low-Altitude Economy: Why We Need a Unified Height System?
par: Yan, Shuaichen, et autres
Publié: (2026)

What We Need
par: Hill, Chrystle, et autres
Publié: (2008)

Artificial Intelligence in Economics Research: What Have We Learned? What Do We Need to Learn?
par: Salman Bahoo, et autres
Publié: (2025)

Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization
par: Zhang, Ruda, et autres
Publié: (2024)

Quantum Computing in Industrial Environments: Where Do We Stand and Where Are We Headed?
par: Osaba, Eneko, et autres
Publié: (2025)

Technology--Where Do We Begin?
par: Kostecki, Sister Gladys
Publié: (1973)

Towards Intrinsically Calibrated Uncertainty Quantification in Industrial Data-Driven Models via Diffusion Sampler
par: Ma, Yiran, et autres
Publié: (2026)

Do We Really Even Need Data?
par: Hoffman, Kentaro, et autres
Publié: (2024)

What Are We Clustering For? Establishing Performance Guarantees for Time Series Aggregation in Generation Expansion Planning
par: Santosuosso, Luca, et autres
Publié: (2025)

Components of a Quality School Library Program: What Do They Look Like? How Do We Assess Where We Are?
par: Brown, Gerald R.
Publié: (2003)

Bayesian Optimization in Bioprocess Engineering—Where Do We Stand Today?
par: Florian Gisperg, et autres
Publié: (2025)

How We Decide the Future of the Olympics ?
par: Luo, Wenlin, et autres
Publié: (2024)

Improving Data Curation of Software Vulnerability Patches through Uncertainty Quantification
par: Chen, Hui, et autres
Publié: (2024)

The Academic Media Center: Where We've Been, Where We Are, and Where We Are Going.
par: Laskowski, Mary Schneider
Publié: (2000)

Integrating Virtual Sensor Data Augmentation Into Machine Learning for Damage Quantification of Bolted Structures Under Assembly Uncertainty
par: J. S. Coelho, et autres
Publié: (2025)

What Do We Mean When We Talk About Data Storytelling?
par: Yang, Leni, et autres
Publié: (2025)

DUST: A Framework for Data-Driven Density Steering
par: Pilipovsky, Joshua, et autres
Publié: (2024)

Seamless Digital Engineering: A Grand Challenge Driven by Needs
par: Wheaton, James S., et autres
Publié: (2024)

Women in Informal Employment: What Do We Know and What Can We Do?
par: David Kucera, et autres
Publié: (2009)

Hip Microinstability—Now We Know What It Is, But What Do We Do About It?
par: Jaydeep Dhillon, et autres
Publié: (2026)

Should We Relax Stability in Matching Markets?
par: Bertsimas, Dimitris, et autres
Publié: (2025)

Data-Driven Robust Covariance Control for Uncertain Linear Systems
par: Pilipovsky, Joshua, et autres
Publié: (2023)

What Do We Do with the Guidelines?
par: Dickinson, Gail K.
Publié: (2009)

Cognitive Tools for Understanding History: What More Do We Need?
par: O'neill, D. K., et autres
Publié: (2006)

The Newly Minted MLS: What Do We Need To Know Today?
par: Bates, Mary Ellen
Publié: (1998)

Lies We Can Trust: Quantifying Action Uncertainty with Inaccurate Stochastic Dynamics through Conformalized Nonholonomic Lie Groups
par: Marques, Luís, et autres
Publié: (2025)

Distributionally Robust Safe Motion Planning with Contextual Information
par: Rahaman, Kaizer, et autres
Publié: (2025)

On Data-Driven Robust Optimization With Multiple Uncertainty Subsets: Unified Uncertainty Set Representation and Mitigating Conservatism
par: Li, Yun, et autres
Publié: (2025)