Inverting Neural Networks: New Methods to Generate Neural Network Inputs from Prescribed Outputs

ArXi:2603.20461v1 Announce Type: new Neural network systems describe complex mappings that can be very difficult to understand. In this paper, we study the inverse problem of determining the input images that get mapped to specific neural network classes. Ultimately, we expect that these images contain recognizable features that are associated with their corresponding class classifications. We