53 citations · 158 across the 12 of their papers we have counts for
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cs.LG2020★ 32 cited
Attraction-Repulsion Spectrum in Neighbor Embeddings
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
Neighbor embeddings are a family of methods for visualizing complex high-dimensional datasets using NN graphs. To find the low-dimensional embedding, these algorithms combine an…
cs.LG2020★ 2 cited
Sparse bottleneck neural networks for exploratory non-linear visualization of Patch-seq data
Yves Bernaerts, Philipp Berens, Dmitry Kobak
Patch-seq, a recently developed experimental technique, allows neuroscientists to obtain transcriptomic and electrophysiological information from the same neurons. Efficiently anal…