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most citedTowards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE

1 citations · 1 across the 7 of their papers we have counts for

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stat.ML2024

Scalable Amortized GPLVMs for Single Cell Transcriptomics Data

Sarah Zhao, Aditya Ravuri, Vidhi Lalchand +1

Dimensionality reduction is crucial for analyzing large-scale single-cell RNA-seq data. Gaussian Process Latent Variable Models (GPLVMs) offer an interpretable dimensionality reduc…

stat.ML2024★ 1 cited

Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE

Aditya Ravuri, Neil D. Lawrence

This paper shows that dimensionality reduction methods such as UMAP and t-SNE, can be approximately recast as MAP inference methods corresponding to a model introduced in Ravuri et…