Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature HierarchyInternational Conference on Learning Representations (ICLR), 2024 |
Hyperbolic Diffusion Embedding and Distance for Hierarchical
Representation LearningInternational Conference on Machine Learning (ICML), 2023 |
Bi-stochastically normalized graph Laplacian: convergence to manifold
Laplacian and robustness to outlier noiseInformation and Inference A Journal of the IMA (JIII), 2022 |
Learning Low-Dimensional Nonlinear Structures from High-Dimensional
Noisy Data: An Integral Operator ApproachAnnals of Statistics (Ann. Stat.), 2022 |
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned
DatasetsInternational Conference on Machine Learning (ICML), 2022 |
Spatiotemporal Analysis Using Riemannian Composition of Diffusion
OperatorsApplied and Computational Harmonic Analysis (ACHA), 2022 |