Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures

18 August 2023

Papers citing "Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures"

9 / 9 papers shown

Title
Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde Anastasis Kratsios Marc T. Law Xiaowen Dong Michael Bronstein CML 46 0 0 25 Aug 2024
Metric Learning for Clifford Group Equivariant Neural Networks Riccardo Ali Paulina Kulyt.e Haitz Sáez de Ocáriz Borde Pietro Lio' 30 0 0 13 Jul 2024
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference Yuan Lu Haitz Sáez de Ocáriz Borde Pietro Lio' 19 2 0 20 Nov 2023
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries Haitz Sáez de Ocáriz Borde Anastasis Kratsios 37 4 0 23 Oct 2023
High-dimensional Clustering onto Hamiltonian Cycle Tianyi Huang Sheng-Hsien Cheng Stan Z. Li Zhengjun Zhang 11 7 0 27 Apr 2023
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Small Transformers Compute Universal Metric Embeddings Anastasis Kratsios Valentin Debarnot Ivan Dokmanić 54 11 0 14 Sep 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 56 23 0 02 Feb 2022
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Jia Wu Yanan Cao Bin Wang 60 90 0 23 Oct 2020