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C. Petrone et al., “Data-Driven Modeling for the Magnetic Field Prediction in Particle-Accelerator Magnets Based on Measured Electrical Parameters”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM041, unpublished. |
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V. Kain et al., “Test of Machine Learning at the CERN LINAC4”, in Proc. 64th Advanced Beam Dynamics Workshop on High-Intensity and High-Brightness Hadron Beams (HB'21), Batavia, IL, USA, Oct. 2021, paper TUEC4, pp. 181-185. |
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V. Kain, N. Bruchon, S. Hirlaender, D. Küchler, and B. Rodriguez Mateos, “Continuous data-driven control of the GTS-LHC ion source at CERN”, in Proc. 26th International Workshop on ECR Ion Sources (ECRIS'24), Darmstadt, Germany, Sep. 2024, pp. 56-59. |
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P. Madysa, S. Appel, L. Dingeldein, J. Fitzek, V. Kain, and M. Schenk, “Geoff developments in 2025”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 1219-1223. |
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V. Kain et al., “Eliminating mains noise effects in accelerators with Machine Learning”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP6001, this conference. |
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A. Menor de Onate, N. Charitonidis, G. Dal Maso, V. Kain, B. Rodriguez Mateos, and M. Schenk, “Towards Fully Automated Transfer Line Commissioning at the CERN Super Proton Synchrotron”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6017, this conference. |
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B. Rodriguez Mateos, T. Argyropoulos, V. Kain, M. Schenk, and M. Slupecki, “High-Dimensional Bayesian Optimization for Sparse Objectives: an Application for Automated Beam Commissioning in the Low Energy Ion Ring at CERN”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6018, this conference. |
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A. Menor de Onate, V. Kain, I. Mases, T. Prebibaj, B. Rodriguez Mateos, and M. Schenk, “Data-Driven Optimization of Open Loop Control Functions at the CERN Super Proton Synchrotron”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6016, this conference. |
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S. Hirlaender et al., “Reinforcement Learning Beyond Greedy Optimisation for Delayed-Consequence Accelerator Control”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6097, this conference. |
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B. Rodriguez Mateos et al., “Online Reinforcement Learning for Stripper Foil Aging Compensation at the CERN Low Energy Ion Ring”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6021, this conference. |
