Feb. 12, 2024, 5:41 a.m. | Haoyu Yang Anthony Agnesina Haoxing Ren

cs.LG updates on arXiv.org arxiv.org

Exploding predictive AI has enabled fast yet effective evaluation and decision-making in modern chip physical design flows. State-of-the-art frameworks typically include the objective of minimizing the mean square error (MSE) between the prediction and the ground truth. We argue the averaging effect of MSE induces limitations in both model training and deployment, and good MSE behavior does not guarantee the capability of these models to assist physical design flows which are likely sabotaged due to a small portion of prediction …

art chip cs.ai cs.lg decision design error evaluation frameworks gradient limitations making mean modern pixel prediction predictive predictive ai square state truth

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