AIBullisharXiv – CS AI · Mar 37/107
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NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces
Researchers introduced Neural Network Diffusion Transformers (NNiTs), a new approach that generates neural network parameters in a width-agnostic manner by treating weight matrices as tokenized patches. The method achieves over 85% success on unseen network architectures in robotics tasks, solving key challenges in generative modeling of neural networks.