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A. Santamaria Garcia et al., “The reinforcement learning for autonomous accelerators collaboration”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS62, this conference. |
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A. Sulc et al., “Towards unlocking insights from logbooks using AI”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPR37, this conference. |
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C. Xu, E. Bründermann, A. Eichler, J. Kaiser, A.-S. Mueller, and A. Santamaria Garcia, “Beam trajectory control with lattice-agnostic reinforcement learning”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL029, pp. 4487-4490. |
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H. Hähnel, A. Ates, B. Dedic, C. Wagner, J. Kaiser, and U. Ratzinger, “RF conditioning of an IH-DTL cavity made using additive manufacturing”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPR10, this conference. |
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J. Kaiser, A. Eichler, S. Tomin, and Z. Zhu, “Machine learning for combined scalar and spectral longitudinal phase space reconstruction”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL019, pp. 4464-4467. |
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O. Stein, I. V. Agapov, A. Eichler, and J. Kaiser, “Accelerating Linear Beam Dynamics Simulations for Machine Learning Applications”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 2330-2333. |
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