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A. Scheinker, F. W. Cropp V, and D. Filippetto, “6D Phase Space Diagnostics Based on Adaptively Tuned Physics-Informed Generative Convolutional Neural Networks”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 776-779. |
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F. W. Cropp V et al., “Toward Machine Learning-Based Adaptive Control and Global Feedback for Compact Accelerators”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 991-994. |
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A. Scheinker and R. J. Roussel, “Bayesian Algorithms for Practical Accelerator Control and Adaptive Machine Learning for Time-Varying Systems”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 921-926. |
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A. Scheinker, “6D Phase Space Diagnostics Based on Adaptive Tuning of the Latent Space of Encoder-Decoder Convolutional Neural Networks”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 837-841. |
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J. E. Koglin, J. E. Coleman, M. McKerns, D. Ronquillo, and A. Scheinker, “Progress Toward Improving Accelerator Performance and Automating Operations with Advanced Analysis Software”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 465-468. |
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A. Scheinker, K. W. Dudeck, and C. P. Leibman, “Machine Learning for the LANL Electromagnetic Isotope Separator”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 490-492. |
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D. Storey et al., “Status and first results from FACET-II towards the demonstration of plasma wakefield acceleration, coherent radiation generation, and probing strong-field QED”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA104, pp. 1549-1552. |
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A. Scheinker, “Physics-constrained 3D convolutional neural networks for electrodynamics of relativistic charged particle beams”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA102, unpublished. |
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N. Yampolsky, P. Anisimov, and A. Scheinker, “Novel diagnostics for measuring 4D beam matrix”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL134, unpublished. |
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M. Rautela, A. Scheinker, and A. Williams, “Accelerator system parameter estimation using variational autoencoded latent regression”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS74, this conference. |
