Projections of Model Spaces for Latent Graph Inference

21 March 2023

Papers citing "Projections of Model Spaces for Latent Graph Inference"

7 / 7 papers shown

Title
Metric Learning for Clifford Group Equivariant Neural Networks Riccardo Ali Paulina Kulyt.e Haitz Sáez de Ocáriz Borde Pietro Lio' 32 0 0 13 Jul 2024
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching Fernando Moreno-Pino Alvaro Arroyo H. Waldon Xiaowen Dong Álvaro Cartea AI4TS 34 1 0 31 May 2024
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference Yuan Lu Haitz Sáez de Ocáriz Borde Pietro Lio' 25 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
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization Haitz Sáez de Ocáriz Borde Alvaro Arroyo Ismael Morales Ingmar Posner Xiaowen Dong 24 9 0 09 Sep 2023
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces Haitz Sáez de Ocáriz Borde Alvaro Arroyo Ismael Morales Ingmar Posner Xiaowen Dong 12 0 0 09 Sep 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021