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3 papers
Discriminative reconstruction via simultaneous dense and sparse coding
Abiy Tasissa, Emmanouil Theodosis, Bahareh Tolooshams +1
Discriminative features extracted from the sparse coding model have been shown to perform well for classification. Recent deep learning architectures have further improved reconstr…
Origins of Creativity in Attention-Based Diffusion Models
Emma Finn, T. Anderson Keller, Manos Theodosis +1
As diffusion models have become the tool of choice for image generation and as the quality of the images continues to improve, the question of how `creativity' originates in diffus…
Shared-Weights Extender and Gradient Voting for Neural Network Expansion
Nikolas Chatzis, Ioannis Kordonis, Manos Theodosis +1
Expanding neural networks during training is a promising way to augment capacity without retraining larger models from scratch. However, newly added neurons often fail to adjust to…