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Reference

For Word

[n]	W. Lin et al., “Machine-Learning–Assisted Bayesian Uncertainty Quantification for Accelerator Digital Twin Modeling and Control”, presented at the IPAC'26, Deauville, France, May 2026, paper MOP6310, this conference.

For LaTeX

%\cite{Lin:IPAC26-MOP6310} \bibitem{Lin:IPAC26-MOP6310} W. Lin \emph{et al.}, \textquotedblleft{Machine-Learning–Assisted Bayesian Uncertainty Quantification for Accelerator Digital Twin Modeling and Control}\textquotedblright, presented at the IPAC’26, Deauville, France, May 2026, paper MOP6310, this conference.

For BibTeX

@conference{lin:ipac26-mop6310, author = {W. Lin and others}, title = {{Machine-Learning–Assisted Bayesian Uncertainty Quantification for Accelerator Digital Twin Modeling and Control}}, pages = {}, paper = {MOP6310}, intype = {presented at the}, series = {International Particle Accelerator Conference}, publisher = {JACoW Publishing, Geneva, Switzerland}, note = {presented at IPAC'26, Deauville, France, May 2026, paper MOP6310, this conference}, language = {english} }

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Metadata

Paper Title: Machine-Learning–Assisted Bayesian Uncertainty Quantification for Accelerator Digital Twin Modeling and Control
Conference: 17th Int. Particle Accelerator Conf. (IPAC'26)
Paper ID: MOP6310
Original Author String: W. Lin, K. Brown, J. Edelen, E. Hamwi, G. Hoffstaetter, C. Kelly, N. Urban

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