Geometry

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data NeurIPS 2022 Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes AISTATS 2022 Faster Linear Algebra for Distance Matrices NeurIPS 2022 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces NeurIPS 2022 From Hyperbolic Geometry Back to Word Embeddings ACL 2022 Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis ICML 2022 Geometry-Contrastive Transformer for Generalized 3D Pose Transfer AAAI 2022 Global Riemannian Acceleration in Hyperbolic and Spherical Spaces ALT 2022 Graph-Coupled Oscillator Networks ICML 2022 Hyperbolic Relevance Matching for Neural Keyphrase Extraction NAACL 2022 Improved Coresets for Euclidean k-Means NeurIPS 2022 Invariance-Aware Randomized Smoothing Certificates NeurIPS 2022 Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022 Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations COLING 2022 Learning Riemannian Stable Dynamical Systems via Diffeomorphisms CoRL 2022 Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis ICML 2022 Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets ICML 2022 Measure Estimation in the Barycentric Coding Model ICML 2022 Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022 Modeling Dynamic Target Deformation in Camera Calibration WACV 2022 Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design CVPR 2022 Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NeurIPS 2022 Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs NeurIPS 2022 Non-Euclidean Self-Organizing Maps IJCAI 2022 On Non-Linear operators for Geometric Deep Learning NeurIPS 2022