Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2406.14786
Cited By
Graph Structure Learning with Interpretable Bayesian Neural Networks
20 June 2024
Max Wasserman
Gonzalo Mateos
CML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Graph Structure Learning with Interpretable Bayesian Neural Networks"
6 / 6 papers shown
Title
Stabilizing the Kumaraswamy Distribution
Max Wasserman
Gonzalo Mateos
BDL
37
0
0
01 Oct 2024
Online Proximal ADMM for Graph Learning from Streaming Smooth Signals
Hector Chahuara
Gonzalo Mateos
29
0
0
19 Sep 2024
Learning Graph Structure from Convolutional Mixtures
Max Wasserman
Saurabh Sihag
Gonzalo Mateos
Alejandro Ribeiro
GNN
CML
BDL
37
6
0
19 May 2022
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals
Ghania Fatima
A. Arora
P. Babu
Petre Stoica
20
7
0
06 Feb 2022
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
238
3,234
0
24 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
1