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Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods
Deep neural networks, despite their success in numerous applications, often function without established theoretical foundations.
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics
The COVID-19 pandemic has affected countries across the world, demanding drastic public health policies to mitigate the spread of infection, leading to economic crisis as a collateral damage.
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