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Geometry

720 papers

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Papers

Diffeomorphic interpolation for efficient persistence-based topological optimization NIPS 2024
Spiking Graph Neural Network on Riemannian Manifolds NIPS 2024
Polyhedral Complex Derivation from Piecewise Trilinear Networks NIPS 2024
Why the Metric Backbone Preserves Community Structure NIPS 2024
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NIPS 2024
Persistent Homology for High-dimensional Data Based on Spectral Methods NIPS 2024
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction NIPS 2024
Private Geometric Median NIPS 2024
Metric Transforms and Low Rank Representations of Kernels for Fast Attention NIPS 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance NIPS 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries NIPS 2024
Symmetry-Informed Governing Equation Discovery NIPS 2024
John Ellipsoids via Lazy Updates NIPS 2024
Semidefinite Relaxations of the Gromov-Wasserstein Distance NIPS 2024
The Star Geometry of Critic-Based Regularizer Learning NIPS 2024
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NIPS 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data NIPS 2024
Infinite-Dimensional Feature Interaction NIPS 2024
Can neural operators always be continuously discretized? NIPS 2024
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion AAAI 2024
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams AAAI 2024
Approximate Distance Oracle for Fault-Tolerant Geometric Spanners AAAI 2024
Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024
Exploiting Data Geometry in Machine Learning AAAI 2024
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations ACL 2024