no code implementations • 10 Dec 2024 • Andrew J. Wildridge, Jack P. Rodgers, Ethan M. Colbert, Yao Yao, Andreas W. Jung, Miaoyuan Liu
Bumblebee is a foundation model for particle physics discovery, inspired by BERT.
2 code implementations • 31 Jan 2022 • Siqi Miao, Miaoyuan Liu, Pan Li
However, those post-hoc methods often fail to provide stable interpretation and may extract features that are spuriously correlated with the task.
Ranked #11 on
Graph Property Prediction
on ogbg-molhiv
no code implementations • NeurIPS Workshop AI4Scien 2021 • Tianchun Li, Shikun Liu, Yongbin Feng, Nhan Tran, Miaoyuan Liu, Pan Li
The graph neural network is trained on charged particles with well-known labels, which can be obtained from simulation truth information or measurements from data, and inferred on neutral particles of which such labeling is missing.
no code implementations • 14 Dec 2019 • Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang
These networks can serve as fast and computationally light methods for particle shower simulation and reconstruction for current and future experiments at particle colliders.