Litcius/Paper detail

Error bounds for deep ReLU networks using the Kolmogorov–Arnold superposition theorem

Hadrien Montanelli, Haizhao Yang

2020Neural Networks95 citationsDOI

Topics & Concepts

Superposition principleCurse of dimensionalityConstructiveMathematicsConstructive proofMultivariate statisticsDiscrete mathematicsPure mathematicsApplied mathematicsComputer scienceMathematical analysisStatisticsProcess (computing)Operating systemNeural Networks and ApplicationsBlind Source Separation TechniquesFace and Expression Recognition
Error bounds for deep ReLU networks using the Kolmogorov–Arnold superposition theorem | Litcius