| Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning YWE Lin, RR Coifman, G Mishne, R Talmon International Conference on Machine Learning, 21003-21025, 2023 | 12 | 2023 |
| Hyperbolic Procrustes analysis using Riemannian geometry YWE Lin, Y Kluger, R Talmon Advances in Neural Information Processing Systems 34, 5959-5971, 2021 | 7 | 2021 |
| Graph of graphs analysis for multiplexed data with application to imaging mass cytometry YWE Lin, T Shnitzer, R Talmon, F Villarroel-Espindola, S Desai, ... PLoS computational biology 17 (3), e1008741, 2021 | 6 | 2021 |
| Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy YWE Lin, RR Coifman, G Mishne, R Talmon arXiv preprint arXiv:2410.21107, 2024 | | 2024 |
| Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters YWE Lin, R Talmon, R Levie arXiv preprint arXiv:2406.01249, 2024 | | 2024 |
| Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets YWE Lin, Y Kluger, R Talmon ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Spatial Analysis Reveals Impaired Immune Cell Function within the Tumor Microenvironment of HIV-associated Non-small Cell Lung Cancer S Desai, S Salahuddin, R Yusuf, K Ranjan, J Gu, YW Lin, R Talmon, ... medRxiv, 2023.10. 21.23297229, 2023 | | 2023 |
