Generative Adversarial
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“Quantum computing just becomes vastly simpler once you take the physics out of it.”
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In 2018, I had the privilege of orally presenting my paper at the AAAI conference.…
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Bridging classic statistical methods and cutting-edge generative AI models for sampling from multivariate distributions.
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Data augmentation for data-deficient deep neural networks.
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Nested bi-level optimization and equilibrium seeking objective
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Revolutionising Efforts with Generative Adversarial Networks and Synthetic Data Introduction The recent explosion of generative…
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State of the Art of the latest models for generating images from other images
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How GANs learn creativity – Understanding the optimization function of Generative Adversarial…
Generative ArtA detailed explanation of the popular GAN min-max game and the Total Loss of the…
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How hard can it be to teach a machine to generate a single point
14 min read