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1. Deep Learning Approach to Large-Scale Systems

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2. Development And Application Of A ReaxFF Reactive Force Field For Copper And Copper Oxide Interactions With Silicon Via Neural Network Based Parameterization Methods

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3. Training-Robust Design of Deep Neural Networks for Imaging and Vision

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4. Explainable, Informed Deep Learning For Signal And Image Estimation

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5. Regularized Learning for Discriminative Problems in Image Recognition

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6. Investigation of Deep Neural Networks From Control and Optimization Perspectives

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Open Access