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Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulation to Diabetes Management
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Reinforcement Learning with Manifold Optimization
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Conditional Sampling and Density Estimation with Triangular Convex Flows
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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Linear Programming Approach for Q-Learning
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Nonnegative Matrix Factorization for Music - Tuning the NMF Algorithm with Regularization
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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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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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