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Inverse problem application in the field of biomedical image reconstruction
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Reinforcement Learning with Manifold Optimization
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Parameter Tuning for SIR-Related Models With Variational and Bayesian Methods
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Precision Neuromodulation Therapies Using Artificial Intelligence
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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
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Large Scale Inverse Problems: Low-Rank Approximations and Optimization
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Differential Equation Interpretation of Deep Neural Networks
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Using a Brain Network Model to Predict Brain Structure from Function
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Assimilation of velocity data into fluid dynamic simulations,
an application to computational hemodynamics
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Spatial Optimization of 4-Poster Feeders for Tick-Borne Disease
Management
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