Neural network with unbounded activation functions is universal approximator

2015/12/18 by Sho Sonoda, Noboru Murata · 4 citations
Computer Science · Engineering · #Neural Networks and Applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques

paper · doi:10.1016/j.acha.2015.12.005

openalex publication_date 2015/12/18 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Cited by

• Bayesian neural networks with interpretable priors from Mercer kernels
• Hybrid Ridgelet Deep Neural Networks for Data-Driven Arbitrage Strategies
• Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests
• GoalRank: Group-Relative Optimization for a Large Ranking Model