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Geometry

720 directly classified papers

Papers per year

Papers

Learning Riemannian Manifolds for Geodesic Motion Skills RSS 2021
Matrix factorisation and the interpretation of geodesic distance NIPS 2021
Hyperbolic Procrustes Analysis Using Riemannian Geometry NIPS 2021
Machine learning structure preserving brackets for forecasting irreversible processes NIPS 2021
Conical Classification For Efficient One-Class Topic Determination EMNLP 2021
Polar Embedding EMNLP 2021
As You Like It: Localization via Paired Comparisons JMLR 2021
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions JMLR 2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization JMLR 2021
Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering ICML 2021
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent AISTATS 2021
Detecting Lexical Semantic Change across Corpora with Smooth Manifolds (Student Abstract) AAAI 2021
DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction AAAI 2021
Momentum Improves Optimization on Riemannian Manifolds AISTATS 2021
How can classical multidimensional scaling go wrong? NIPS 2021
Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance CVPR 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs NIPS 2021
Computationally Tractable Riemannian Manifolds for Graph Embeddings AAAI 2021
Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks AAAI 2021
Coresets for Decision Trees of Signals NIPS 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds ICML 2021
Bayesian Quadrature on Riemannian Data Manifolds ICML 2021
Crystallization Learning with the Delaunay Triangulation ICML 2021
Differential Privacy Over Riemannian Manifolds NIPS 2021
Riemannian Convex Potential Maps ICML 2021