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Conditional Progressive Generative Adversarial Network for satellite image generation
In this work, we formulate the image generation task as completion of an image where one out of three corners is missing.
Accelerating GAN training using highly parallel hardware on public cloud
With the increasing number of Machine and Deep Learning applications in High Energy Physics, easy access to dedicated infrastructure represents a requirement for fast and efficient R&D.
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