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Geometry

720 directly classified papers

Papers per year

Papers

Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024
Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024
Spherical Rotation Dimension Reduction with Geometric Loss Functions JMLR 2024
CLOAF: CoLlisiOn-Aware Human Flow CVPR 2024
Data-driven bifurcation analysis via learning of homeomorphism L4DC 2024
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology JMLR 2024
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms JMLR 2024
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction NIPS 2024
Semidefinite Relaxations of the Gromov-Wasserstein Distance NIPS 2024
Dual VC Dimension Obstructs Sample Compression by Embeddings COLT 2024
Learning Discretized Neural Networks under Ricci Flow JMLR 2024
Polyhedral Complex Derivation from Piecewise Trilinear Networks NIPS 2024
John Ellipsoids via Lazy Updates NIPS 2024
Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding IJCAI 2024
The Star Geometry of Critic-Based Regularizer Learning NIPS 2024
3D Neural Edge Reconstruction CVPR 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data NIPS 2024
Differentially Private Topological Data Analysis JMLR 2024
Atomic Recovery Property for Multi-view Subspace-Preserving Recovery IJCAI 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance NIPS 2024
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching CVPR 2024
Infinite-Dimensional Feature Interaction NIPS 2024
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis CVPR 2024
Symmetry-Informed Governing Equation Discovery NIPS 2024
DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024