Coifman, Ronald R.

6 publications

NeurIPS 2025 Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

ICLR 2025 Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

ICML 2023 Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

ICML 2010 Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning Matan Gavish, Boaz Nadler, Ronald R. Coifman

JMLR 2008 Regularization on Graphs with Function-Adapted Diffusion Processes Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman

NeurIPS 2005 Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators Boaz Nadler, Stephane Lafon, Ioannis Kevrekidis, Ronald R. Coifman