SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–29 of 29 papers

TitleStatusHype
Activation degree thresholds and expressiveness of polynomial neural networks—0
An Approach to Stable Gradient Descent Adaptation of Higher-Order Neural Units—0
A practical, fast method for solving sum-of-squares problems for very large polynomials—0
Bayesian polynomial neural networks and polynomial neural ordinary differential equations—0
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study—0
Geometry of Polynomial Neural Networks—0
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods—0
Identifiability of Deep Polynomial Neural Networks—0
Ladder Polynomial Neural Networks—0
Show:102550
← PrevPage 3 of 3Next →

No leaderboard results yet.