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conftrace_

manifold learning

431 papers

ML

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