A dense subset of the Gromov boundary of the grand arc graph is identified with geodesic laminations; the graph satisfies the bounded geodesic image theorem and its boundary is non-compact.
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2 Pith papers cite this work. Polarity classification is still indexing.
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HypEHR is a hyperbolic embedding model for EHR data that uses Lorentzian geometry and hierarchy-aware pretraining to answer clinical questions nearly as well as large language models but with much smaller size.
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Gromov boundary of the Grand Arc graph
A dense subset of the Gromov boundary of the grand arc graph is identified with geodesic laminations; the graph satisfies the bounded geodesic image theorem and its boundary is non-compact.
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HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering
HypEHR is a hyperbolic embedding model for EHR data that uses Lorentzian geometry and hierarchy-aware pretraining to answer clinical questions nearly as well as large language models but with much smaller size.