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cs.CV2026
Residual-Stream Burden Shapes Representation Learning in Diffusion Transformers
Tongtong Liang, Siqi Kou, Ziqiao Xi +6
In diffusion-based generation, a neural network can be trained to predict the clean data, the noise, or the velocity from a noisy input. These prediction targets are interconvertib…
cs.CV2026
Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image Clustering
Joshua Lentz, Nicholas Karris, Alex Cloninger +1
Hyperspectral images capture vast amounts of high-dimensional spectral information about a scene, making labeling an intensive task that is resistant to out-of-the-box statistical…