Learning Inference Concurrency in DynamicGate MLP Structural and Mathematical Justification
arXiv:2604.13546v1 Announce Type: new
Abstract: Conventional neural networks strictly separate learning and inference because if parameters are updated during inference, outputs become unstable and even the inference function itself is not well define…