manifold embedding

Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance AAAI 2025 A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NeurIPS 2023 A Probabilistic Framework for Land Deformation Prediction (Student Abstract) AAAI 2022 Manifold Coordinates with Physical Meaning JMLR 2022 DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion EMNLP 2020 Hypergraph Induced Convolutional Manifold Networks IJCAI 2019 Selecting the independent coordinates of manifolds with large aspect ratios NeurIPS 2019 Life-Stage Modeling by Customer-Manifold Embedding IJCAI 2017 Majorization-Minimization for Manifold Embedding AISTATS 2015 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 Distance Preserving Embeddings for General n-Dimensional Manifolds JMLR 2013 Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013 Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012 Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NeurIPS 2009