manifold learning

402 papers

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Also known as

ML

Co-occurring keywords

dimensionality reduction (720) representation learning (6174) riemannian manifold (169) semi-supervised learning (2331) unsupervised learning (3255) metric learning (1189) generative model (2889) spectral method (204) normalizing flow (354) graph laplacian (109)

Papers

Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data IJCAI 2023

Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023

Unsupervised Manifold Linearizing and Clustering ICCV 2023

Large sample spectral analysis of graph-based multi-manifold clustering JMLR 2023

Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold L4DC 2023

Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023

Grassmann Manifold Flows for Stable Shape Generation NIPS 2023

A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023

ADEPT: A DEbiasing PrompT Framework AAAI 2023

SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling NIPS 2023

Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling AAAI 2023

Canonical normalizing flows for manifold learning NIPS 2023

Implications of sparsity and high triangle density for graph representation learning AISTATS 2023

Neural FIM for learning Fisher information metrics from point cloud data ICML 2023

Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NIPS 2023

Spread Flows for Manifold Modelling AISTATS 2023

Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks ICML 2023

Combating Mode Collapse via Offline Manifold Entropy Estimation AAAI 2023

Riemannian Residual Neural Networks NIPS 2023

Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning NIPS 2023

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NIPS 2023

Few-Sample Feature Selection via Feature Manifold Learning ICML 2023

The Exact Sample Complexity Gain from Invariances for Kernel Regression NIPS 2023

Isometric Manifold Learning Using Hierarchical Flow AAAI 2023

Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NIPS 2023