Geometry

Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024 Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations ICML 2024 Revisiting Sampson Approximations for Geometric Estimation Problems CVPR 2024 Riemannian coordinate descent algorithms on matrix manifolds ICML 2024 RMLR: Extending Multinomial Logistic Regression into General Geometries NeurIPS 2024 Sample Complexity Bounds for Estimating Probability Divergences under Invariances ICML 2024 Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NeurIPS 2024 Scalable Higher-Order Tensor Product Spline Models AISTATS 2024 Semidefinite Relaxations of the Gromov-Wasserstein Distance NeurIPS 2024 Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo CVPR 2024 Spherical Rotation Dimension Reduction with Geometric Loss Functions JMLR 2024 Spiking Graph Neural Network on Riemannian Manifolds NeurIPS 2024 Stable and Consistent Density-Based Clustering via Multiparameter Persistence JMLR 2024 Sum-of-norms clustering does not separate nearby balls JMLR 2024 Symmetry-Informed Governing Equation Discovery NeurIPS 2024 The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis EMNLP 2024 The Star Geometry of Critic-Based Regularizer Learning NeurIPS 2024 Topological Node2vec: Enhanced Graph Embedding via Persistent Homology JMLR 2024 Transolver: A Fast Transformer Solver for PDEs on General Geometries ICML 2024 UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs ICML 2024 Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression ICML 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024 Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NeurIPS 2024 Why the Metric Backbone Preserves Community Structure NeurIPS 2024 p-Poisson surface reconstruction in curl-free flow from point clouds NeurIPS 2023