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Machine Learning Prediction for Design and System Technology Co-Optimization Sensitivity Analysis., , , , and . IEEE Trans. Very Large Scale Integr. Syst., 30 (8): 1059-1072 (2022)A Refutation of the Clique-Based P=NP Proofs of LaPlante and Tamta-Pande-Dhami., , , , and . CoRR, (2015)Design and System Technology Co-Optimization Sensitivity Prediction for VLSI Technology Development using Machine Learning., , , and . SLIP, page 8-15. IEEE, (2021)DAGSizer: A Directed Graph Convolutional Network Approach to Discrete Gate Sizing of VLSI Graphs., , , , and . ACM Trans. Design Autom. Electr. Syst., 28 (4): 52:1-52:31 (July 2023)Learning Sample Reweighting for Accuracy and Adversarial Robustness., , and . CoRR, (2022)Net Separation-Oriented Printed Circuit Board Placement via Margin Maximization., , and . ASP-DAC, page 288-293. IEEE, (2022)Tslearn, A Machine Learning Toolkit for Time Series Data., , , , , , , , , and 1 other author(s). J. Mach. Learn. Res., (2020)On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations., , , and . CoRR, (2024)Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors., , and . TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 161-171. PMLR, (2022)Placement Initialization via Sequential Subspace Optimization with Sphere Constraints., , , , , and . ISPD, page 133-140. ACM, (2023)