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blog.reachsumit.com | ||
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christopher-beckham.github.io
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| | | | | I wrote a self-contained implementation of NVIDIA's EDM diffusion model in a Jupyter notebook, as well as its associated sampling algorithms. I also discuss the rather confusing names used for real-world implementations of those algorithms. | |
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xcorr.net
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| | | | | 2022 was the year of generative AI models: DALL-E 2, MidJourney, Stable Diffusion, and Imagen all showed that it's possible to generate grounded, photorealistic images. These generative AIs are instances of conditional denoising diffusion probabilistic models, or DDPMs. Despite these flashy applications, DDPMs have thus far had little impact on neuroscience. An oil painting of... | |
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sander.ai
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| | | | | The noise schedule is a key design parameter for diffusion models. Unfortunately it is a superfluous abstraction that entangles several different model aspects. Do we really need it? | |
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blog.google
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| | | Neural networks can train computers to learn in a way similar to humans. Googler Maithra Raghu explains how they work. | ||
