Anomaly Detection

Last updated on Sep 10, 2023

Developed several approaches for finding rare particle collisions, including GNNs, Lorentz-equivariant networks, and multi-variate goodness-of-fit tests. More info coming soon!

Publications

Zichun Hao, Raghav Kansal, Javier Duarte, Nadezda Chernyavskaya (2023). Lorentz group equivariant autoencoders. Eur. Phys. J. C.

PDF arXiv Cite Code Project Project DOI

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. ML and the Physical Sciences Workshop @ NeurIPS 2021.

PDF arXiv Cite Project Project Poster

Talks and Posters

UCI Particle/Astro ML Seminar, Generative transformers and how to evaluate them (+ Lorentz-equivariant networks)
Jun 27, 2023 UC Irvine Invited Talk
Project Project Project Slides