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05/29/2023
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation
The study of universal approximation properties (UAP) for neural network...
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05/20/2023
Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions
In recent years, deep learning-based sequence modelings, such as languag...
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09/23/2022
Achieve the Minimum Width of Neural Networks for Universal Approximation
The universal approximation property (UAP) of neural networks is fundame...
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09/22/2022
Vanilla feedforward neural networks as a discretization of dynamic systems
Deep learning has made significant applications in the field of data sci...
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04/18/2020
Optimization in Machine Learning: A Distribution Space Approach
We present the viewpoint that optimization problems encountered in machi...
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09/29/2018
