Ya-Wei Eileen Lin

14 papers A* 5Misc 2Journal 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks. CoRR Ya-Wei Eileen Lin, Ron Levie
2025	J	`jnl`	Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2025	A*	`conf`	Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. CVPR Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025	J	`jnl`	Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. CoRR Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025	Misc	`conf`	Hyperbolic Distance Based on EMD and Diffusion for Hyperspectral Imaging. ICASSP Elad Lavi, Amir Bourvine, Ya-Wei Eileen Lin, Ronen Talmon
2025	A*	`conf`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. ICLR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2024	A*	`conf`	Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. NeurIPS Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
2024	J	`jnl`	Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. CoRR Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
2024	Misc	`conf`	Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets. ICASSP Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
2024	J	`jnl`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	A*	`conf`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. ICML Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	J	`jnl`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2021	J	`jnl`	Graph of graphs analysis for multiplexed data with application to imaging mass cytometry. PLoS Comput. Biol. Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt A. Schalper, Yuval Kluger
2021	A*	`conf`	Hyperbolic Procrustes Analysis Using Riemannian Geometry. NeurIPS Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon