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BufFormer: A Generative ML Framework for Scalable Buffering., , , , и . ASP-DAC, стр. 264-270. ACM, (2023)Machine Learning-Enabled High-Frequency Low-Power Digital Design Implementation At Advanced Process Nodes., и . ISPD, стр. 83-90. ACM, (2021)Redefining the Role of the CPU in the Era of CPU-GPU Integration., , , , и . IEEE Micro, 32 (6): 4-16 (2012)Generative self-supervised learning for gate sizing: invited., , , , , и . DAC, стр. 1331-1334. ACM, (2022)Optimization of Overdrive Signoff in High-Performance and Low-Power ICs., , , , и . IEEE Trans. Very Large Scale Integr. Syst., 23 (8): 1552-1556 (2015)A deep learning methodology to proliferate golden signoff timing., , , и . DATE, стр. 1-6. European Design and Automation Association, (2014)Learning-based prediction of embedded memory timing failures during initial floorplan design., , , , и . ASP-DAC, стр. 178-185. IEEE, (2016)ORION3.0: A Comprehensive NoC Router Estimation Tool., , и . IEEE Embed. Syst. Lett., 7 (2): 41-45 (2015)Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper., , , , , , , и . ICCAD, стр. 1-6. IEEE, (2021)Why are Graph Neural Networks Effective for EDA Problems?: (Invited Paper)., , , , и . ICCAD, стр. 1:1-1:8. ACM, (2022)