17 citations · 23 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 1 cited
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu +1
Parameter-space regularization in neural network optimization is a fundamental tool for improving generalization. However, standard parameter-space regularization methods make it c…
hep-ph2023★ 5 cited
Parton Labeling without Matching: Unveiling Emergent Labelling Capabilities in Regression Models
Shikai Qiu, Shuo Han, Xiangyang Ju +2
Parton labeling methods are widely used when reconstructing collider events with top quarks or other massive particles. State-of-the-art techniques are based on machine learning an…
hep-ph2022★ 17 cited
A Holistic Approach to Predicting Top Quark Kinematic Properties with the Covariant Particle Transformer
Shikai Qiu, Shuo Han, Xiangyang Ju +2
Precise reconstruction of top quark properties is a challenging task at the Large Hadron Collider due to combinatorial backgrounds and missing information. We introduce a physics-i…