manifold learning

Riemannian Score-Based Generative Modelling NeurIPS 2022 Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing JMLR 2022 Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation AAAI 2022 Shape And Structure Preserving Differential Privacy NeurIPS 2022 SpaceMAP: Visualizing High-Dimensional Data by Space Expansion ICML 2022 Textual Manifold-based Defense Against Natural Language Adversarial Examples EMNLP 2022 Topic Modeling With Topological Data Analysis EMNLP 2022 Topologically penalized regression on manifolds JMLR 2022 Universal Approximation Theorems for Differentiable Geometric Deep Learning JMLR 2022 Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows ICML 2022 VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization AAAI 2022 VQ-Flows: Vector quantized local normalizing flows UAI 2022 You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection NeurIPS 2022 A Critique of Self-Expressive Deep Subspace Clustering ICLR 2021 A Hyperbolic-to-Hyperbolic Graph Convolutional Network CVPR 2021 Autoencoder Image Interpolation by Shaping the Latent Space ICML 2021 Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks ICML 2021 Bringing UMAP Closer to the Speed of Light with GPU Acceleration AAAI 2021 Deep Networks Provably Classify Data on Curves NeurIPS 2021 Denoising Normalizing Flow NeurIPS 2021 Diffusion Earth Mover’s Distance and Distribution Embeddings ICML 2021 Flow-based Generative Models for Learning Manifold to Manifold Mappings AAAI 2021 Gauge Equivariant Transformer NeurIPS 2021 Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections CVPR 2021 Geometric structure of graph Laplacian embeddings JMLR 2021