Tslearn, A Machine Learning Toolkit for Time Series Data von Tavenard, Romain, Faouzi, Johann, Vandewiele, Gilles, Divo, Felix, Androz, Guillaume, Holtz, Chester, Payne, Marie, Yurchak, Roman, Russwurm, Marc, Kolar, Kushal, Woods, Eli

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DAGSizer: A Directed Graph Convolutional Network Approach to Discrete Gate Sizing of VLSI Graphs von Cheng, Chung-Kuan, Holtz, Chester, Kahng, Andrew B., Lin, Bill, Mallappa, Uday

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Autism spectrum disorder detection from semi-structured and unstructured medical data von Yuan, Jianbo, Holtz, Chester, Smith, Tristram, Luo, Jiebo

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Machine Learning Prediction for Design and System Technology Co-Optimization Sensitivity Analysis von Cheng, Chung-Kuan, Ho, Chia-Tung, Holtz, Chester, Lee, Daeyeal, Lin, Bill

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Grid-Based Framework for Routability Analysis and Diagnosis With Conditional Design Rules von Park, Dongwon, Lee, Daeyeal, Kang, Ilgweon, Holtz, Chester, Gao, Sicun, Lin, Bill, Cheng, Chung-Kuan

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Sequential subspace methods on Stiefel manifold optimization problems von Chen, Pengwen, Cheng, Chung-Kuan, Holtz, Chester

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Robust estimation of boundary using doubly stochastic scaling of Gaussian kernel von Kohli, Dhruv, He, Jesse, Holtz, Chester, Mishne, Gal, Cloninger, Alexander

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Learning Sample Reweighting for Accuracy and Adversarial Robustness von Holtz, Chester, Weng, Tsui-Wei, Mishne, Gal

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Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors von Holtz, Chester, Mishne, Gal, Cloninger, Alexander

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On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations von Holtz, Chester, Wang, Yucheng, Cheng, Chung-Kuan, Lin, Bill

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A Comparison of Machine Learning Tools for Early Prediction of Sepsis from ICU Data von Hsu, Po-Ya, Holtz, Chester

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Online Adversarial Purification based on Self-Supervision von Shi, Changhao, Holtz, Chester, Mishne, Gal

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Sequential subspace methods on Stiefel manifold optimization problems von Chen, Pengwen, Chung-Kuan, Cheng, Holtz, Chester

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Semi-Supervised Laplace Learning on Stiefel Manifolds von Holtz, Chester, Chen, Pengwen, Cloninger, Alexander, Cheng, Chung-Kuan, Mishne, Gal

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Net Separation-Oriented Printed Circuit Board Placement via Margin Maximization von Chung-Kuan, Cheng, Chia-Tung, Ho, Holtz, Chester

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Robust estimation of boundary using doubly stochastic scaling of Gaussian kernel von Kohli, Dhruv, He, Jesse, Holtz, Chester, Mishne, Gal, Cloninger, Alexander

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Learning Sample Reweighting for Accuracy and Adversarial Robustness von Holtz, Chester, Tsui-Wei, Weng, Mishne, Gal

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Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors von Holtz, Chester, Mishne, Gal, Cloninger, Alexander

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On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations von Holtz, Chester, Wang, Yucheng, Chung-Kuan, Cheng, Lin, Bill

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Semi-Supervised Laplace Learning on Stiefel Manifolds von Holtz, Chester, Chen, Pengwen, Cloninger, Alexander, Chung-Kuan, Cheng, Mishne, Gal

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