manifold learning

A composable machine-learning approach for steady-state simulations on high-resolution grids NeurIPS 2022 Approximation with CNNs in Sobolev Space: with Applications to Classification NeurIPS 2022 A Probabilistic Framework for Land Deformation Prediction (Student Abstract) AAAI 2022 Attraction-Repulsion Spectrum in Neighbor Embeddings JMLR 2022 BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 2022 Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods NeurIPS 2022 Dynamic Manifold Learning for Land Deformation Forecasting AAAI 2022 Geometry-Aware Hierarchical Bayesian Learning on Manifolds WACV 2022 Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth JMLR 2022 Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction CVPR 2022 Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds NeurIPS 2022 Intrinsic dimensionality estimation using Normalizing Flows NeurIPS 2022 Learning Manifold Dimensions with Conditional Variational Autoencoders NeurIPS 2022 Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets ICML 2022 Manifold Interpolating Optimal-Transport Flows for Trajectory Inference NeurIPS 2022 Manifold Learning Benefits GANs CVPR 2022 Meta-Auto-Decoder for Solving Parametric Partial Differential Equations NeurIPS 2022 Multi-view Subspace Clustering on Topological Manifold NeurIPS 2022 On Non-Linear operators for Geometric Deep Learning NeurIPS 2022 On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane NeurIPS 2022 Orthogonal Multi-Manifold Enriching of Directed Networks AISTATS 2022 PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval AAAI 2022 Projective Manifold Gradient Layer for Deep Rotation Regression CVPR 2022 Quadric Hypersurface Intersection for Manifold Learning in Feature Space AISTATS 2022 Riemannian Neural SDE: Learning Stochastic Representations on Manifolds NeurIPS 2022