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Fully tensorial approach to hypercomplex neural networks
29 June 2024
Agnieszka Niemczynowicz
Radosław Antoni Kycia
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Papers citing
"Fully tensorial approach to hypercomplex neural networks"
9 / 9 papers shown
Title
KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
Agnieszka Niemczynowicz
Radosław Antoni Kycia
AI4CE
87
1
0
29 Jun 2024
Hypercomplex neural network in time series forecasting of stock data
Radosław Antoni Kycia
Agnieszka Niemczynowicz
AI4TS
AIFin
74
3
0
09 Jan 2024
Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networks
Marcos Eduardo Valle
Wington L. Vital
Guilherme Vieira
61
8
0
04 Jan 2024
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions
Eleonora Grassucci
Aston Zhang
Danilo Comminiello
83
37
0
08 Oct 2021
Algebraic Neural Networks: Stability to Deformations
Alejandro Parada-Mayorga
Alejandro Ribeiro
116
26
0
03 Sep 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
661
42,863
0
03 Dec 2019
Deep Quaternion Networks
Chase J. Gaudet
Anthony Maida
66
167
0
13 Dec 2017
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
681
18,428
0
27 May 2016
Fast Algorithms for Convolutional Neural Networks
Andrew Lavin
Scott Gray
87
881
0
30 Sep 2015
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