Ami Tavory

A Graph Meta-Network for Learning on Kolmogorov–Arnold Networks

Weight-space models learn directly from the parameters of neural networks, enabling tasks such as predicting their accuracy on new datasets. Naive methods -- like applying MLPs to flattened parameters -- perform poorly, making the design of better weight-space architectures a central challenge. Whi…