Machine Learning
Simulation-based Real-time Production Control
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In-Memory Hardware-Software Co-design for Image Processing
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Time-Synchronized Topology and State Estimation in Real-Time Unobservable Distribution Systems
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Gaussian Process Modeling for Heterogeneous Functions
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Cyber Risk Loss Distribution Model of Client-Server Networks
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Predicting Accuracy of a Machine Learning Model
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Improved Mapping of Computational Loops on Reconfigurable Architectures
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Deep Reinforcement-Learning-Based Text Anonymization for Attribute Privacy
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Improving Shape Awareness and Interpretability in Deep Networks
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Polynomial Implicit Neural Representations for Large Diverse Datasets
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