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| | codeincomplete.com
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| | Personal Website for Jake Gordon
| | polukhin.tech
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| | A robot sitting next to a human in an office, trending on artstation, beautiful coloring, 4k, vibrant, blue and yellow, by DreamStudio
| | blog.ml.cmu.edu
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| | The latest news and publications regarding machine learning, artificial intelligence or related, brought to you by the Machine Learning Blog, a spinoff of the Machine Learning Department at Carnegie Mellon University.
| | yang-song.net
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| This blog post focuses on a promising new direction for generative modeling. We can learn score functions (gradients of log probability density functions) on a large number of noise-perturbed data distributions, then generate samples with Langevin-type sampling. The resulting generative models, often called score-based generative models, has several important advantages over existing model families: GAN-level sample quality without adversarial training, flexible model architectures, exact log-likelihood ...