实体 International Conference on Neural Networks

International Conference on Neural Networks

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RESEARCH · CL_05017 · Apr 24 · 08:43

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions

Researchers have introduced SOC-ICNN, a novel neural network architecture that expands the representational capabilities beyond classical ReLU-based Input Convex Neural Networks (ICNNs). By generalizing from Linear Prog…

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions