Geometric deep learning: going beyond Euclidean data

24 November 2016

M. Bronstein

Joan Bruna

Yann LeCun

Arthur Szlam

P. Vandergheynst

GNN

Papers citing "Geometric deep learning: going beyond Euclidean data"

4 / 4 papers shown

Title
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum OCL 33 425 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu OCL GNN PINN 41 1320 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 65 1728 0 25 Nov 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 31 1134 0 30 Nov 2014