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Found 4 papers, 2 papers with code
Universal Sleep Decoder: Aligning awake and sleep neural representation across subjects
Decoding memory content from brain activity during sleep has long been a goal in neuroscience.
Replay and compositional computation
Replay in the brain has been viewed as rehearsal, or, more recently, as sampling from a transition model.
Self-Conditioned Generative Adversarial Networks for Image Editing
We compare our models to a wide range of latent editing methods, and show that by alleviating the bias they achieve finer semantic control and better identity preservation through a wider range of transformations.
Neural Implicit 3D Shapes from Single Images with Spatial Patterns
However, the image features for describing 3D point samplings of implicit functions are less effective when significant variations of occlusions, views, and appearances exist from the image.
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