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Geometry

720 directly classified papers

Papers per year

Papers

Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment IJCAI 2024
Spherical Rotation Dimension Reduction with Geometric Loss Functions JMLR 2024
DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms JMLR 2024
Learning Discretized Neural Networks under Ricci Flow JMLR 2024
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology JMLR 2024
Bures-Wasserstein Means of Graphs AISTATS 2024
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NIPS 2024
Differentially Private Topological Data Analysis JMLR 2024
Symmetry-Informed Governing Equation Discovery NIPS 2024
Exploiting Data Geometry in Machine Learning AAAI 2024
Certified private data release for sparse Lipschitz functions AISTATS 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries NIPS 2024
Dual VC Dimension Obstructs Sample Compression by Embeddings COLT 2024
Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024
Private Geometric Median NIPS 2024
The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis EMNLP 2024
Data-driven bifurcation analysis via learning of homeomorphism L4DC 2024
Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024
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
Sum-of-norms clustering does not separate nearby balls JMLR 2024
Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024