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20182022
most citedUniversal Solutions of Feedforward ReLU Networks for Interpolations

1 citations · 1 across the 7 of their papers we have counts for

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7 papers

cs.LG2022

On an Interpretation of ResNets via Solution Constructions

Changcun Huang

This paper first constructs a typical solution of ResNets for multi-category classifications by the principle of gate-network controls and deep-layer classifications, from which a…

cs.LG2022★ 1 cited

Universal Solutions of Feedforward ReLU Networks for Interpolations

Changcun Huang

This paper provides a theoretical framework on the solution of feedforward ReLU networks for interpolations, in terms of what is called an interpolation matrix, which is the summar…

cs.LG2022

On a Mechanism Framework of Autoencoders

Changcun Huang

This paper proposes a theoretical framework on the mechanism of autoencoders. To the encoder part, under the main use of dimensionality reduction, we investigate its two fundamenta…

cs.LG2022

Theoretical Exploration of Solutions of Feedforward ReLU Networks

Changcun Huang

This paper aims to interpret the mechanism of feedforward ReLU networks by exploring their solutions for piecewise linear functions, through the deduction from basic rules. The con…

cs.LG2019

Interpretations of Deep Learning by Forests and Haar Wavelets

Changcun Huang

This paper presents a basic property of region dividing of ReLU (rectified linear unit) deep learning when new layers are successively added, by which two new perspectives of inter…

eess.IV2018

New Fundamental Formulas of Image Restoration in Spatial and Frequency Domains

Changcun Huang

Circular convolutions and the corresponding frequency domain formula are fundamentally important in image restoration; however, in this paper, we'll prove that the usual computing…

eess.SP2018

The Interpretation of Linear Prediction by Interpolation Framework and Several following Results

Changcun Huang

This paper gives a general interpretation of Linear Prediction (LP) by interpolation framework different from the perspective of statistics. This interpretation is proved to be use…