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Geometry
720 directly classified papers
Papers per year
2002: 2
2003: 1
2005: 1
2006: 6
2007: 5
2008: 4
2009: 2
2010: 6
2011: 7
2012: 9
2013: 41
2014: 33
2015: 60
2016: 28
2017: 35
2018: 38
2019: 67
2020: 40
2021: 74
2022: 55
2023: 89
2024: 67
2025: 45
2026: 5
Papers
Topological Obstructions and How to Avoid Them
NIPS 2023
Community Recovery in the Geometric Block Model
JMLR 2023
ActUp: Analyzing and Consolidating tSNE and UMAP
IJCAI 2023
Gaussian Differential Privacy on Riemannian Manifolds
NIPS 2023
The Exact Sample Complexity Gain from Invariances for Kernel Regression
NIPS 2023
Open Problem: Polynomial linearly-convergent method for g-convex optimization?
COLT 2023
Chordal Averaging on Flag Manifolds and Its Applications
ICCV 2023
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
ICML 2023
3D Line Mapping Revisited
CVPR 2023
Outlier-Robust Subsampling Techniques for Persistent Homology
JMLR 2023
Compatibility of Fundamental Matrices for Complete Viewing Graphs
ICCV 2023
Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory
NIPS 2023
Is the volume of a credal set a good measure for epistemic uncertainty?
UAI 2023
Octree Guided Unoriented Surface Reconstruction
CVPR 2023
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
NIPS 2023
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
ICML 2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
ICML 2023
Diffusion Representation for Asymmetric Kernels via Magnetic Transform
NIPS 2023
Grassmann Manifold Flows for Stable Shape Generation
NIPS 2023
Topological Singularity Detection at Multiple Scales
ICML 2023
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
CVPR 2023
NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering
CVPR 2023
Shape Analysis of Euclidean Curves under Frenet-Serret Framework
ICCV 2023
Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning
JMLR 2023
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery
AISTATS 2023
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