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Message-Passing Monte Carlo: Generating low-discrepancy point sets via
  Graph Neural Networks

Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks

23 May 2024
T. Konstantin Rusch
Nathan Kirk
M. Bronstein
Christiane Lemieux
Daniela Rus
ArXivPDFHTML

Papers citing "Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks"

2 / 2 papers shown
Title
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,104
0
27 Apr 2021
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
1