Adam Klivans, a professor of computer science at the University of Texas at Austin, has received the 20-Year Test of Time Award at the 66th Annual IEEE Symposium on Foundations of Computer Science ...
Abstract: The quality of generative models depends on the quality of the data they are trained on. Creating large-scale, high-quality datasets is often expensive and sometimes impossible, e.g. in ...
We use diffusion models to regularize the solutions of GANs for inverse problems (e.g. inpainting, colorization, denoising, etc). A GAN can be decomposed into ...
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