Simulation

Sparse Data Generation

May 5, 2021 CERN (Virtual)

Graph GANs for High Energy Physics Data Generation

James Madison University (Virtual)

Mar 18, 2021 James Madison University (Virtual)

Graph GANs for High Energy Physics Data Generation

Graph GANs for High Energy Physics Data Generation

Mar 17, 2021 Berkeley Institute for Data Science (Virtual)

Graph GANs for High Energy Physics Data Generation

Graph GANs for High Energy Physics Data Generation

Graph-based networks, with their ability to handle sparse, permutation invariant data with complex geometries, have recently proven …

Feb 2, 2021 Imperial College London (Virtual)

Graph GANs for High Energy Physics Data Generation

Graph GANs for Sparse Data Generation in High Energy Physics

Dec 11, 2020 NeurIPS 2020 (Virtual)

Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics

We develop a graph generative adversarial network to generate sparse data sets like those produced at the CERN Large Hadron Collider …

Raghav Kansal, Javier Duarte, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopulos

Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics

Sparse Data Generation with Graph GANs

Nov 23, 2020 CERN (Virtual)

Deep Graph Neural Networks for Fast HGCAL Simulation

Feb 27, 2020 Princeton

Deep Graph Neural Networks for Fast HGCAL Simulation

Aug 28, 2019 CERN

Deep Graph Neural Networks for Fast HGCAL Simulation

Aug 21, 2019 Virtual