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Found 2 papers, 1 papers with code
Analyzing Diffusion as Serial Reproduction
Diffusion models are a class of generative models that learn to synthesize samples by inverting a diffusion process that gradually maps data into noise.
Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity
Similarly, we find that recognition performance in the same ANN models was likewise influenced by masking input images using human visual selectivity maps.
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