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cs.CV2024★ 1 cited
Cracking the neural code for word recognition in convolutional neural networks
Aakash Agrawal, Stanislas Dehaene
Learning to read places a strong challenge on the visual system. Years of expertise lead to a remarkable capacity to separate highly similar letters and encode their relative posit…
cs.CV2023★ 3 cited
Learning multi-scale local conditional probability models of images
Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat +1
Deep neural networks can learn powerful prior probability models for images, as evidenced by the high-quality generations obtained with recent score-based diffusion methods. But th…