Co-occurring keywords · papers mentioning both
Papers
Structure-Guided Adversarial Training of Diffusion Models
CVPR 2024
Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space
IJCAI 2024
Vector Quantile Regression on Manifolds
AISTATS 2024
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds
NeurIPS 2024
ADEPT: A DEbiasing PrompT Framework
AAAI 2023
A Differential Geometric View and Explainability of GNN on Evolving Graphs
ICLR 2023
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
NeurIPS 2023
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models
JMLR 2023
Canonical normalizing flows for manifold learning
NeurIPS 2023
Combating Mode Collapse via Offline Manifold Entropy Estimation
AAAI 2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
CVPR 2023
Density estimation on low-dimensional manifolds: an inflation-deflation approach
JMLR 2023
Edge Structure Learning via Low Rank Residuals for Robust Image Classification
AAAI 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
NeurIPS 2023
Few-Sample Feature Selection via Feature Manifold Learning
ICML 2023
Fisher Information Embedding for Node and Graph Learning
ICML 2023
Grassmann Manifold Flows for Stable Shape Generation
NeurIPS 2023
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
CVPR 2023
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
ICML 2023
Implications of sparsity and high triangle density for graph representation learning
AISTATS 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics
JMLR 2023
Intrinsic Persistent Homology via Density-based Metric Learning
JMLR 2023
Isometric Manifold Learning Using Hierarchical Flow
AAAI 2023
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning
NeurIPS 2023
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories
ACL 2023