3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in human-aging-8
Use these libraries to find human-aging-8 models and implementations
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This work proposes a novel multi-domain image-to-image generative adversarial network architecture, whose learned latent space models a continuous bi-directional aging process.
This work demonstrates how the empirical scaling law relating the rank of the largest clones to their size can emerge from clonal growth during repertoire formation and provides a mechanism for how early clonal dynamics imprint the hierarchy of T cell clone sizes with implications for pathogen defense and autoimmunity.
Adding a benchmark result helps the community track progress.