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Andrew Wang's Projects

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We promote competitive programming among students through resources, classes, outreach, and contests.

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Hyperbolic PCA via Horospherical Projections

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The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation issue we propose Poincaré maps, a method harnessing the power of hyperbolic geometry into the realm of single-cell data analysis.

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code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

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General Resources for Competitive Programming

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A free collection of curated, high-quality resources to take you from Bronze to Platinum and beyond.

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