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…