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www.nature.com | ||
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www.dreamfold.ai
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| | | | | Introducing FoldFlow-2: a state-of-the-art protein structure generative model that uses both protein sequence and structure to unlock huge potential for protein design. | |
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sander.ai
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| | | | | Thoughts on the tension between iterative refinement as the thing that makes diffusion models work, and our continual attempts to make it _less_ iterative. | |
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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 ... | |
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tcode2k16.github.io
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| | | a random blog about cybersecurity and programming | ||
