Swarajh Mehta

NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces

Generative modeling of neural network parameters is often tied to architectures because standard parameter representations rely on known weight-matrix dimensions. Generation is further complicated by permutation symmetries that allow networks to model similar input-output functions while having wide…