Published on August 4, 2025 10:18 PM GMT

I recently posted a paper suggesting that deep networks may harbor an implicitly linear model, recoverable via a form of gradient denoising. The method - called excitation pullback - produces crisp, human-aligned features and offers a structural lens on generalization. Just look at the explanations for ImageNet-pretrained ResNet50 on the front page of the paper.