Raghav Kansal
Raghav Kansal
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Equivariant and Physics-Informed ML
Particle Cloud Generation with Message Passing GANs
In high energy physics (HEP), jets are collections of correlated particles produced ubiquitously in particle collisions such as those …
Jun 23, 2021
Mainz Institute for Theoretical Physics (Virtual)
Project
Slides
Sparse Data Generation
May 5, 2021
CERN (Virtual)
Project
Slides
Graph GANs for High Energy Physics Data Generation
James Madison University (Virtual)
Mar 18, 2021
James Madison University (Virtual)
Project
Slides
Graph GANs for High Energy Physics Data Generation
Mar 17, 2021
Berkeley Institute for Data Science (Virtual)
Project
Slides
Video
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)
Project
Slides
Video
Graph GANs for Sparse Data Generation in High Energy Physics
Dec 11, 2020
NeurIPS 2020 (Virtual)
Project
Poster
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
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Project
Sparse Data Generation with Graph GANs
Nov 23, 2020
CERN (Virtual)
Project
Slides
Deep Graph Neural Networks for Fast HGCAL Simulation
Feb 27, 2020
Princeton
Project
Poster
Deep Graph Neural Networks for Fast HGCAL Simulation
Aug 28, 2019
CERN
Project
Slides
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