1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
L2G-Net: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
Despite their theoretical advantages, spectral methods based on the graph Fourier transform (GFT) are seldom used in graph neural networks (GNNs) due to the cost of computing the e…
cs.LG2024★ 1 cited
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures
Jorge F. Silva, Victor Faraggi, Camilo Ramirez +2
We present new results to model and understand the role of encoder-decoder design in machine learning (ML) from an information-theoretic angle. We use two main information concepts…
stat.ML2021★ 1 cited
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency
Eduardo Pavez
This paper considers the problem of estimating high dimensional Laplacian constrained precision matrices by minimizing Stein's loss. We obtain a necessary and sufficient condition…