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$Π-$nets: Deep Polynomial Neural Networks

Π−Π-Π−nets: Deep Polynomial Neural Networks

8 March 2020
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Yannis Panagakis
Jiankang Deng
S. Zafeiriou
ArXivPDFHTML

Papers citing "$Π-$nets: Deep Polynomial Neural Networks"

13 / 13 papers shown
Title
Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
Antonia van Betteray
Matthias Rottmann
Karsten Kahl
48
0
0
13 Mar 2025
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
Madison Cooley
Shandian Zhe
Robert M. Kirby
Varun Shankar
54
1
0
04 Jun 2024
QuadraNet: Improving High-Order Neural Interaction Efficiency with
  Hardware-Aware Quadratic Neural Networks
QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks
Chenhui Xu
Fuxun Yu
Zirui Xu
Chenchen Liu
Jinjun Xiong
Xiang Chen
30
4
0
29 Nov 2023
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic
  Encryption
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption
Moran Baruch
Nir Drucker
Gilad Ezov
Yoav Goldberg
Eyal Kushnir
Jenny Lerner
Omri Soceanu
Itamar Zimerman
49
6
0
26 Apr 2023
Polynomial Neural Fields for Subband Decomposition and Manipulation
Polynomial Neural Fields for Subband Decomposition and Manipulation
Guandao Yang
Sagie Benaim
Varun Jampani
Kyle Genova
Jonathan T. Barron
Thomas Funkhouser
Bharath Hariharan
Serge J. Belongie
36
20
0
09 Feb 2023
On the Ability of Graph Neural Networks to Model Interactions Between
  Vertices
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin
Tom Verbin
Nadav Cohen
19
10
0
29 Nov 2022
QuadraLib: A Performant Quadratic Neural Network Library for
  Architecture Optimization and Design Exploration
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration
Zirui Xu
Fuxun Yu
Jinjun Xiong
Xiang Chen
25
23
0
01 Apr 2022
The Spectral Bias of Polynomial Neural Networks
The Spectral Bias of Polynomial Neural Networks
Moulik Choraria
L. Dadi
Grigorios G. Chrysos
Julien Mairal
V. Cevher
22
18
0
27 Feb 2022
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
19
119
0
07 Jul 2021
Deep Polynomial Neural Networks
Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Jiankang Deng
Yannis Panagakis
S. Zafeiriou
21
92
0
20 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
264
10,344
0
12 Dec 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
236
1,811
0
25 Nov 2016
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
96
1,342
0
06 Jul 2016
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