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Polynomial Neural Networks

Polynomial Neural Networks are in the classes of Neural Networks that can be expressed as a pure polynomial of the inputs to the network

Papers

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Showing 11–20 of 29 papers

TitleStatusHype
Learning on a Razor's Edge: the Singularity Bias of Polynomial Neural Networks—0
Nonconvex Matrix Factorization from Rank-One Measurements—0
On the Study of Sample Complexity for Polynomial Neural Networks—0
Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators—0
Physics-based polynomial neural networks for one-shot learning of dynamical systems from one or a few samples—0
Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window—0
PNeRV: A Polynomial Neural Representation for Videos—0
Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning—0
1-Dimensional polynomial neural networks for audio signal related problems—0
The Spectral Bias of Polynomial Neural Networks—0
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