Geometry

Graph Mixup on Approximate Gromov–Wasserstein Geodesics ICML 2024 Handling Heterogeneous Curvatures in Bandit LQR Control ICML 2024 High-Dimensional Geometric Streaming for Nearly Low Rank Data ICML 2024 Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching CVPR 2024 Hyperbolic Anomaly Detection CVPR 2024 Improved Communication-Privacy Trade-offs in L_2 Mean Estimation under Streaming Differential Privacy ICML 2024 Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes ICML 2024 Infinite-Dimensional Feature Interaction NeurIPS 2024 John Ellipsoids via Lazy Updates NeurIPS 2024 Learning Discretized Neural Networks under Ricci Flow JMLR 2024 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024 Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024 Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis CVPR 2024 Metric Transforms and Low Rank Representations of Kernels for Fast Attention NeurIPS 2024 Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion AAAI 2024 Nonparametric Regression for 3D Point Cloud Learning JMLR 2024 Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024 PE: A Poincare Explanation Method for Fast Text Hierarchy Generation EMNLP 2024 Persistent Homology for High-dimensional Data Based on Spectral Methods NeurIPS 2024 Polyhedral Complex Derivation from Piecewise Trilinear Networks NeurIPS 2024 Position: Optimization in SciML Should Employ the Function Space Geometry ICML 2024 Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory ICML 2024 Private Geometric Median NeurIPS 2024 R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction NeurIPS 2024 Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment IJCAI 2024