DeePoly combines rough neural-network features with local polynomial bases and a linear solve to reach high-order accuracy on function approximation and PDEs.
Random matrices and complexity of spin glasses.Communications on Pure and Applied Mathematics, 66(2):165–201, 2013
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
DeePoly: A High-Order Accuracy Scientific Machine Learning Framework for Function Approximation and Solving PDEs
DeePoly combines rough neural-network features with local polynomial bases and a linear solve to reach high-order accuracy on function approximation and PDEs.