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Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulation to Diabetes Management
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Efficient Training of Input Convex Neural Networks Using Variable Projection
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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
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Linear Programming Approach for Q-Learning
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Estimating and Predicting the Effect of Quarantine in the COVID-19 Pandemic: Using a Modified SEIR Model
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Optimal Control Approaches for Designing Neural Ordinary Differential Equations
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Multiresolution Methods for Convolutional Neural Networks
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Large-Scale Parameter Estimation in Geophysics and Machine Learning
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