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Found 4 papers, 1 papers with code
Atom-by-atom protein generation and beyond with language models
However, they are constrained to generate proteins with only the set of amino acids represented in their vocabulary.
FenceNet: Fine-grained Footwork Recognition in Fencing
FenceNet takes 2D pose data as input and classifies actions using a skeleton-based action recognition approach that incorporates temporal convolutional networks to capture temporal information.
Keeping it Simple: Language Models can learn Complex Molecular Distributions
In this work, we investigate the capacity of simple language models to learn distributions of molecules.
Understanding Childhood Vulnerability in The City of Surrey
Understanding the community conditions that best support universal access and improved childhood outcomes allows ultimately to improve decision-making in the areas of planning and investment across the early stages of childhood development.
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