2 papers
hep-ph2024
Improving the performance of weak supervision searches using data augmentation
Zong-En Chen, Cheng-Wei Chiang, Feng-Yang Hsieh
Weak supervision combines the advantages of training on real data with the ability to exploit signal properties. However, training a neural network using weak supervision often req…
hep-ph2023
Improving the performance of weak supervision searches using transfer and meta-learning
Hugues Beauchesne, Zong-En Chen, Cheng-Wei Chiang
Weak supervision searches have in principle the advantages of both being able to train on experimental data and being able to learn distinctive signal properties. However, the prac…