{"total":62,"rows":[{"id":"2101.04562","title":"Hyperbolic Deep Neural Networks: A Survey","created":"2021-01-12","cited_by_count":139,"area":null},{"id":"2305.06611","title":"Hyperbolic Deep Learning in Computer Vision: A Survey","created":"2023-05-11","cited_by_count":73,"area":null},{"id":"2104.06942","title":"A Hyperbolic-to-Hyperbolic Graph Convolutional Network","created":"2021-04-14","cited_by_count":53,"area":null},{"id":"2106.03306","title":"HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections","created":"2021-06-07","cited_by_count":47,"area":null},{"id":"2303.06242","title":"HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations","created":"2023-03-10","cited_by_count":44,"area":null},{"id":"2212.14258","title":"HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization","created":"2022-12-29","cited_by_count":26,"area":null},{"id":"2303.14027","title":"Poincar\\'e ResNet","created":"2023-03-24","cited_by_count":25,"area":null},{"id":"2111.01460","title":"Geometry-aware Bayesian Optimization in Robotics using Riemannian Mat\\'ern Kernels","created":"2021-11-02","cited_by_count":24,"area":null},{"id":"2106.04941","title":"Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach","created":"2021-06-09","cited_by_count":23,"area":null},{"id":"2405.11801","title":"LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering","created":"2024-05-20","cited_by_count":21,"area":null},{"id":"2205.02618","title":"Contrastive Multi-view Hyperbolic Hierarchical Clustering","created":"2022-05-05","cited_by_count":19,"area":null},{"id":"2305.18962","title":"Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning","created":"2023-05-30","cited_by_count":18,"area":null},{"id":"2306.11180","title":"Hyperbolic Active Learning for Semantic Segmentation under Domain Shift","created":"2023-06-19","cited_by_count":18,"area":null},{"id":"2109.09740","title":"Neural Distance Embeddings for Biological Sequences","created":"2021-09-20","cited_by_count":17,"area":null},{"id":"2105.10475","title":"Generalization Error Bound for Hyperbolic Ordinal Embedding","created":"2021-05-21","cited_by_count":12,"area":null},{"id":"2209.06788","title":"Small Transformers Compute Universal Metric Embeddings","created":"2022-09-14","cited_by_count":12,"area":null},{"id":"2101.11520","title":"Supervised Tree-Wasserstein Distance","created":"2021-01-27","cited_by_count":10,"area":null},{"id":"2210.01672","title":"Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds","created":"2022-10-04","cited_by_count":10,"area":null},{"id":"2307.03675","title":"GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies","created":"2023-07-07","cited_by_count":10,"area":null},{"id":"2308.13279","title":"Hyperbolic Random Forests","created":"2023-08-25","cited_by_count":9,"area":null},{"id":"2310.13841","title":"Fast hyperboloid decision tree algorithms","created":"2023-10-20","cited_by_count":7,"area":null},{"id":"2102.08688","title":"Switch Spaces: Learning Product Spaces with Sparse Gating","created":"2021-02-17","cited_by_count":6,"area":null},{"id":"2309.10013","title":"Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin","created":"2023-09-18","cited_by_count":6,"area":null},{"id":"2502.17130","title":"Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space","created":"2025-02-24","cited_by_count":6,"area":null},{"id":"2410.21107","title":"Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy","created":"2024-10-28","cited_by_count":5,"area":null},{"id":"2203.14683","title":"AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System","created":"2022-03-28","cited_by_count":4,"area":null},{"id":"2304.10764","title":"Hyperbolic Geometry in Computer Vision: A Survey","created":"2023-04-21","cited_by_count":4,"area":null},{"id":"2305.03883","title":"SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds","created":"2023-05-06","cited_by_count":4,"area":null},{"id":"2307.04514","title":"Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold","created":"2023-07-10","cited_by_count":4,"area":null},{"id":"2504.09970","title":"ASIL: Augmented Structural Information Learning for Deep Graph Clustering in Hyperbolic Space","created":"2025-04-14","cited_by_count":4,"area":null},{"id":"2104.11430","title":"Learning phylogenetic trees as hyperbolic point configurations","created":"2021-04-23","cited_by_count":3,"area":null},{"id":"2205.09721","title":"HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering","created":"2022-05-19","cited_by_count":3,"area":null},{"id":"2305.13521","title":"CEO: Corpus-based Open-Domain Event Ontology Induction","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2310.11401","title":"Enhancing Group Fairness in Online Settings Using Oblique Decision Forests","created":"2023-10-17","cited_by_count":3,"area":null},{"id":"2405.20094","title":"Low-dimensional approximations of the conditional law of Volterra processes: a non-positive curvature approach","created":"2024-05-30","cited_by_count":3,"area":null},{"id":"2410.07858","title":"From Logits to Hierarchies: Hierarchical Clustering made Simple","created":"2024-10-10","cited_by_count":3,"area":null},{"id":"2507.21648","title":"Hyperbolic Genome Embeddings","created":"2025-07-29","cited_by_count":3,"area":null},{"id":"2512.00524","title":"Hyperbolic Continuous Structural Entropy for Hierarchical Clustering","created":"2025-11-29","cited_by_count":3,"area":null},{"id":"2205.01907","title":"Cross-lingual Word Embeddings in Hyperbolic Space","created":"2022-05-04","cited_by_count":2,"area":null},{"id":"2307.01421","title":"Unsupervised Feature Learning with Emergent Data-Driven Prototypicality","created":"2023-07-04","cited_by_count":2,"area":null},{"id":"2312.01502","title":"Normed Spaces for Graph Embedding","created":"2023-12-03","cited_by_count":2,"area":null},{"id":"2104.07061","title":"Exact and Approximate Hierarchical Clustering Using A*","created":"2021-04-14","cited_by_count":1,"area":null},{"id":"2312.07931","title":"Levenshtein Distance Embedding with Poisson Regression for DNA Storage","created":"2023-12-13","cited_by_count":1,"area":null},{"id":"2502.12481","title":"Predicate Hierarchies Improve Few-Shot State Classification","created":"2025-02-18","cited_by_count":1,"area":null},{"id":"2505.12404","title":"Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2509.16898","title":"The Complexity of Finding Local Optima in Contrastive Learning","created":"2025-09-21","cited_by_count":1,"area":null},{"id":"2510.09328","title":"Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2511.09577","title":"Siegel Neural Networks","created":"2025-11-12","cited_by_count":1,"area":null},{"id":"2308.06895","title":"Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls","created":"2023-08-14","cited_by_count":0,"area":null},{"id":"2402.04163","title":"Tempered Calculus for ML: Application to Hyperbolic Model Embedding","created":"2024-02-06","cited_by_count":0,"area":null},{"id":"2405.16213","title":"Learning Visual-Semantic Subspace Representations","created":"2024-05-25","cited_by_count":0,"area":null},{"id":"2409.01010","title":"Fitting trees to $\\ell_1$-hyperbolic distances","created":"2024-09-02","cited_by_count":0,"area":null},{"id":"2502.13571","title":"Influence Strength Estimation in Hyperbolic Space for Social Influence Maximization","created":"2025-02-19","cited_by_count":0,"area":null},{"id":"2509.21281","title":"Taxonomy-aware Dynamic Motion Generation on Hyperbolic Manifolds","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2510.05643","title":"Combined Hyperbolic and Euclidean Soft Triple Loss Beyond the Single Space Deep Metric Learning","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2512.11448","title":"Hyperbolic Gaussian Blurring Mean Shift: A Statistical Mode-Seeking Framework for Clustering in Curved Spaces","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2601.01914","title":"Learning Action Hierarchies via Hybrid Geometric Diffusion","created":"2026-01-05","cited_by_count":0,"area":null},{"id":"2605.07119","title":"Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.11967","title":"H2G: Hierarchy-Aware Hyperbolic Grouping for 3D Scenes","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2606.01525","title":"Semi-Supervised Hyperbolic Hierarchical Clustering with Set-Level Structural Priors","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2608.25199","title":"Hyperbolic Latent Geometry for Tree-Structured Prototype Networks: A Local-vs-Global Trade-off","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.25501","title":"Continuous Optimization for p-adic Models","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}