Polynomial Neural Networks

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Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (29 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Polynomial Neural Networks
  20 Jun 2020 5 repositories listed
  We introduce three tensor decompositions that significantly reduce the number of parameters and show how they can be efficiently implemented by hierarchical neural networks.
• Augmenting Deep Classifiers with Polynomial Neural Networks
  16 Apr 2021 2 repositories listed Syntology ran 4 of 6 samples · 2 unverified · 6 pointer-only (licence)
  The efficacy of the proposed models is evaluated on standard image and audio classification benchmarks.
• $Π-$nets: Deep Polynomial Neural Networks
  8 Mar 2020 2 repositories listed
  Deep Convolutional Neural Networks (DCNNs) is currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning.
• A Training Framework for Optimal and Stable Training of Polynomial Neural Networks
  16 May 2025 1 repository listed
  By replacing standard non-linearities with polynomial activations, Polynomial Neural Networks (PNNs) are pivotal for applications such as privacy-preserving inference via Homomorphic Encryption (HE).
• Conditional Generation Using Polynomial Expansions
  1 Dec 2021 1 repository listed
  We exhibit how CoPE can be trivially augmented to accept an arbitrary number of input variables.
• CoPE: Conditional image generation using Polynomial Expansions
  11 Apr 2021 1 repository listed
  We exhibit how CoPE can be trivially augmented to accept an arbitrary number of input variables.
• P-nets: Deep Polynomial Neural Networks
  1 Jun 2020 1 repository listed
  Deep Convolutional Neural Networks (DCNNs) is currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning.
• Matrix Lie Maps and Neural Networks for Solving Differential Equations
  16 Aug 2019 1 repository listed
  The weights of the network can be directly calculated from the equation.
• On the Expressive Power of Deep Polynomial Neural Networks
  29 May 2019 1 repository listed
  We study deep neural networks with polynomial activations, particularly their expressive power.
• Discontinuous Piecewise Polynomial Neural Networks
  15 May 2015 1 repository listed
  An artificial neural network is presented based on the idea of connections between units that are only active for a specific range of input values and zero outside that range (and so are not evaluated outside the active…

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.