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Geometry

720 directly classified papers

Papers per year

Papers

Entropic Gromov-Wasserstein Distances: Stability and Algorithms JMLR 2024
Geometric Learning with Positively Decomposable Kernels JMLR 2024
Consistency of Dictionary-Based Manifold Learning AISTATS 2024
Stable and Consistent Density-Based Clustering via Multiparameter Persistence JMLR 2024
Fitting Flats to Flats CVPR 2024
Dual VC Dimension Obstructs Sample Compression by Embeddings COLT 2024
Sum-of-norms clustering does not separate nearby balls JMLR 2024
Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching CVPR 2024
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NIPS 2024
Nonparametric Regression for 3D Point Cloud Learning JMLR 2024
A Unified Framework for Discovering Discrete Symmetries AISTATS 2024
Why the Metric Backbone Preserves Community Structure NIPS 2024
Scalable Higher-Order Tensor Product Spline Models AISTATS 2024
Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment IJCAI 2024
DART: Implicit Doppler Tomography for Radar Novel View Synthesis CVPR 2024
Approximate Distance Oracle for Fault-Tolerant Geometric Spanners AAAI 2024
The Hyperspherical Geometry of Community Detection: Modularity as a Distance JMLR 2023
Randomized geometric tools for anomaly detection in stock markets AISTATS 2023
Dimensionless machine learning: Imposing exact units equivariance JMLR 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023
Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023
Analyzing and Improving the Use of the FastMap Embedding in Pathfinding Tasks AAAI 2023
An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots RSS 2023