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Julien Chiquet

2 accepted papers

2022

A Probabilistic Graph Coupling View of Dimension Reduction

NeurIPS 2022accept

Most popular dimension reduction (DR) methods like t-SNE and UMAP are based on minimizing a cost between input and latent pairwise similarities. Though widely used, these approaches lack clear probabilistic foundations to enable a full understanding of their properties and limitations. To that exten…

Cited by 16SourcePDFScholar
2019

Variational Inference for sparse network reconstruction from count data

ICML 2019oral

Networks provide a natural yet statistically grounded way to depict and understand how a set of entities interact. However, in many situations interactions are not directly observed and the network needs to be reconstructed based on observations collected for each entity. Our work focuses on the sit…