Hyperbolic Diffusion Embedding and Distance for Hierarchical
Representation Learning

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

30 May 2023

Ronald R. Coifman

Papers citing "Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning"

12 / 12 papers shown

Title
Hyperbolic Diffusion Recommender Model Meng Yuan Yutian Xiao Wei Chen Chu Zhao Deqing Wang Fuzhen Zhuang 34 1 0 02 Apr 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding Thomas Dagès Simon Weber Y. Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 37 0 0 23 Mar 2025
Hyperbolic Safety-Aware Vision-Language Models Tobia Poppi Tejaswi Kasarla Pascal Mettes Lorenzo Baraldi Rita Cucchiara VLM MU 61 0 0 15 Mar 2025
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Y. Lin Ronald R. Coifman Gal Mishne Ronen Talmon 40 2 0 28 Oct 2024
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images Chen Liu Danqi Liao Alejandro Parada-Mayorga Alejandro Ribeiro Marcello DiStasio Smita Krishnaswamy 45 4 0 04 Oct 2024
Hyperbolic Geometric Latent Diffusion Model for Graph Generation Xingcheng Fu Yisen Gao Yuecen Wei Qingyun Sun Hao Peng Jianxin Li Xianxian Li 34 4 0 06 May 2024
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues van Assel Cédric Vincent-Cuaz Nicolas Courty Rémi Flamary Pascal Frossard Titouan Vayer 26 3 0 03 Feb 2024
Accelerating hyperbolic t-SNE Martin Skrodzki Hunter van Geffen Nicolas F. Chaves-de-Plaza T. Höllt E. Eisemann Klaus Hildebrandt 20 3 0 23 Jan 2024
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash Jin Sima Chao Pan Eli Chien O. Milenkovic FedML 53 2 0 14 Aug 2023
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States Noga Mudrik Gal Mishne Adam S. Charles 33 1 0 07 Jun 2023
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Co-manifold learning with missing data Gal Mishne Eric C. Chi Ronald R. Coifman 30 14 0 16 Oct 2018