Gal Mishne

Associate Professor, University of California, San Diego

1 paper at NeurIPS 2025

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Poster Session 2

1 paper

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance

#2602 Spotlight · Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

We introduce an iterative framework to jointly learn hierarchical representations of both samples and features using tree-Wasserstein distance and data-driven Haar wavelet filters.