Publications

Mary Touranakou, Nadezda Chernyavskaya, Javier Duarte, Dimitrios Gunopulos, Raghav Kansal, Breno Orzari, Maurizio Pierini, Thiago Tomei, Jean-Roch Vlimant (2022). Particle-based fast jet simulation at the LHC with variational autoencoders. Machine Learning: Science and Technology.

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CMS Collaboration (2022). Search for nonresonant pair production of highly energetic Higgs bosons decaying to bottom quarks. Physics Review Letters.

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Raghav Kansal, Javier Duarte, Hao Su, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopulos (2021). Particle Cloud Generation with Message Passing Generative Adversarial Networks. Advances in Neural Information Processing Systems (NeurIPS 2021).

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Steven Tsan, Raghav Kansal, Anthony Aportela, Daniel Diaz, Javier Duarte, Sukanya Krishna, Farouk Mokhtar, Jean-Roch Vlimant, Maurizio Pierini (2021). Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance. At the Fourth Workshop on Machine Learning and the Physical Sciences @ NeurIPS 2021.

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Farouk Mokhtar, Raghav Kansal, Daniel Diaz, Javier Duarte, Joosep Pata, Maurizio Pierini, Jean-Roch Vlimant (2021). Explaining machine-learned particle-flow reconstruction. At the Fourth Workshop on Machine Learning and the Physical Sciences @ NeurIPS 2021.

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Raghav Kansal, Javier Duarte, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopulos (2020). Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics. At the Third Workshop on Machine Learning and the Physical Sciences @ NeurIPS 2020.

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