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Learning Disentangled Representations for T Cell Receptor Design
As a result, the disentangled embedding space formed not only improves interpretability of the model but also enables one-pass optimization of TCR sequences conditioned on antigen binding properties.
Learning to Generate Facial Depth Maps
In this paper, an adversarial architecture for facial depth map estimation from monocular intensity images is presented.
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