Unsupervised in-distribution anomaly detection of new physics through conditional density estimation

George Stein, Uros Seljak, Biwei Dai

Anomaly detection is a key application of machine learning, but is generally focused on the detection of outlying samples in the low probability density regions of data. Here we in…