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Author: L. Scomparin


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Reference
A. Santamaria Garcia et al., “Systematic study of longitudinal excitations to influence the microbunching instability at KARA”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA018, pp. 2681-2684.
L. Scomparin et al., “A low-latency feedback system for the control of horizontal betatron oscillations”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL027, pp. 4479-4482.
L. Scomparin et al., “KINGFISHER: A Framework for Fast Machine Learning Inference for Autonomous Accelerator Systems”, in Proc. 11th Int. Beam Instrumentation Conference (IBIC'22), Kraków, Poland, Sep. 2022, pp. 151-155.
A. Santamaria Garcia et al., “How Can Machine Learning Help Future Light Sources?”, in Proc. 67th ICFA Advanced Beam Dynamics Workshop on Future Light Sources (FLS'23), Luzern, Switzerland, Aug.-Sep. 2023, paper TH3D3, pp. 249-256.
S. Hirlaender et al., “Towards few-shot reinforcement learning in particle accelerator control”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS60, pp. 1804-1807.
L. Scomparin et al., “Preliminary results on the reinforcement learning-based control of the microbunching instability”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS61, pp. 1808-1811.
A. Santamaria Garcia et al., “The reinforcement learning for autonomous accelerators collaboration”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS62, pp. 1812-1815.


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