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10/18/2022
Unsupervised visualization of image datasets using contrastive learning
Visualization methods based on the nearest neighbor graph, such as t-SNE...
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06/03/2022
Contrastive learning unifies t-SNE and UMAP
Neighbor embedding methods t-SNE and UMAP are the de facto standard for ...
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05/16/2022
Wasserstein t-SNE
Scientific datasets often have hierarchical structure: for example, in s...
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07/17/2020
A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum
Neighbor embeddings are a family of methods for visualizing complex high...
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06/18/2020
Sparse Bottleneck Networks for Exploratory Analysis and Visualization of Neural Patch-seq Data
In recent years, increasingly large datasets with two different sets of ...
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02/15/2019
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations
T-distributed stochastic neighbour embedding (t-SNE) is a widely used da...
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05/28/2018
Implicit ridge regularization provided by the minimum-norm least squares estimator when n≪ p
A conventional wisdom in statistical learning is that large models requi...
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04/25/2018
Putin's peaks: Russian election data revisited
We study the anomalous prevalence of integer percentages in the last par...
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10/22/2014
