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Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulation to Diabetes Management
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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
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The Applications of Alternating Minimization Algorithms on Deep Learning Models
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Improving Multigrid Methods with Deep Neural Networks
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Large Scale Inverse Problems: Low-Rank Approximations and Optimization
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Generating Graphs with Deep Learning and Graph Theory
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Optimal Control Approaches for Designing Neural Ordinary Differential Equations
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Patient-Specific Modeling in Cardiac Electrophysiology: Parameter Estimation and Personalization
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Large-Scale Parameter Estimation in Geophysics and Machine Learning
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