Ya-Wei Eileen Lin

According to our database, Ya-Wei Eileen Lin authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance.

Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

CoRR, January, 2025

Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy.

Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Hyperbolic Distance Based on EMD and Diffusion for Hyperspectral Imaging.

Elad Lavi, Amir Bourvine, Ya-Wei Eileen Lin, Ronen Talmon

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding.

Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters.

Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets.

Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning.

Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

Proceedings of the International Conference on Machine Learning, 2023

2021

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry.

Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt A. Schalper, Yuval Kluger

PLoS Comput. Biol., 2021

Hyperbolic Procrustes Analysis Using Riemannian Geometry.

Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021