Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks

14 September 2023

Papers citing "Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks"

6 / 6 papers shown

Title
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models Guilherme Vieira Neto Marcos Eduardo Valle 16 0 0 08 May 2025
Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation Johannes Pöppelbaum Andreas Schwung AI4TS 18 1 0 18 Mar 2024
Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networks Marcos Eduardo Valle Wington L. Vital Guilherme Vieira 10 7 0 04 Jan 2024
Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks Wington L. Vital Guilherme Vieira Marcos Eduardo Valle 10 5 0 06 Sep 2022
Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks Guilherme Vieira Marcos Eduardo Valle 18 18 0 26 May 2022
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters Aston Zhang Yi Tay Shuai Zhang Alvin Chan A. Luu S. Hui Jie Fu MQ 166 83 0 17 Feb 2021