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[n]	A. Scheinker, “Generative deep learning for 6D phase space diagnostics via physics-constrained neural networks, physics models, and adaptive feedback”, in Proc. IPAC'24, Nashville, TN, USA, May 2024, pp. 1827-1830. doi:10.18429/JACoW-IPAC2024-TUPS66

For LaTeX

%\cite{Scheinker:IPAC24-TUPS66} \bibitem{Scheinker:IPAC24-TUPS66} A. Scheinker, \textquotedblleft{Generative deep learning for 6D phase space diagnostics via physics-constrained neural networks, physics models, and adaptive feedback}\textquotedblright, in \emph{Proc. IPAC’24}, Nashville, TN, USA, May 2024, pp. 1827--1830. \url{doi:10.18429/JACoW-IPAC2024-TUPS66}

For BibTeX

@inproceedings{scheinker:ipac24-tups66, author = {A. Scheinker}, title = {{Generative deep learning for 6D phase space diagnostics via physics-constrained neural networks, physics models, and adaptive feedback}}, booktitle = {Proc. IPAC'24}, pages = {1827--1830}, paper = {TUPS66}, venue = {Nashville, TN, USA}, series = {International Particle Accelerator Conference}, number = {15}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {7}, year = {2024}, issn = {2673-5490}, isbn = {978-3-95-450247-9}, doi = {10.18429/JACoW-IPAC2024-TUPS66}, language = {english} }

References

• A. Scheinker, “Generative deep learning for 6D phase space diagnostics via physics-constrained neural networks, physics models, and adaptive feedback”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS66, pp. 1827-1830.