Geometry

Exploring Data Geometry for Continual Learning CVPR 2023 Fast Algorithms for a New Relaxation of Optimal Transport COLT 2023 Fitting trees to ℓ_1-hyperbolic distances NeurIPS 2023 Gaussian Differential Privacy on Riemannian Manifolds NeurIPS 2023 Geodesically convex M-estimation in metric spaces COLT 2023 Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces NeurIPS 2023 Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023 GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency CVPR 2023 Grassmann Manifold Flows for Stable Shape Generation NeurIPS 2023 Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023 HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization CVPR 2023 HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model ACL 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning ICML 2023 Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023 Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023 Is the volume of a credal set a good measure for epistemic uncertainty? UAI 2023 LDL: Line Distance Functions for Panoramic Localization ICCV 2023 Learning a 3D Morphable Face Reflectance Model From Low-Cost Data CVPR 2023 Learning Cuts via Enumeration Oracles NeurIPS 2023 Learning Globally Smooth Functions on Manifolds ICML 2023 Lie Point Symmetry and Physics-Informed Networks NeurIPS 2023 Limits of Dense Simplicial Complexes JMLR 2023 Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes ICLR 2023