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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networks, physics models, and adaptive feedback”, presented at the IPAC'24, Nashville, TN, USA, May 2024, paper TUPS66, unpublished. 

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models, and adaptive feedback}\textquotedblright, presented at the IPAC’24, Nashville, TN, USA, May 2024, paper TUPS66, unpublished.

For BibTeX

@unpublished{scheinker:ipac24-tups66, author = {A. Scheinker}, title = {{Generative deep learning for 6D phase space diagnostics via physics-constrained neural networks,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}}, pages = {}, paper = {TUPS66}, venue = {Nashville, TN, USA, May 2024}, intype = {presented at the}, series = {International Particle Accelerator Conference}, number = {15}, publisher = {JACoW Publishing, Geneva, Switzerland}, note = {presented at IPAC'24, Nashville, TN, USA, May 2024, paper TUPS66, unpublished}, language = {english} }

References

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