Deep-testing: the case of dependence detection
arXiv:2604.26558v1 Announce Type: new
Abstract: Deep learning methods have proved highly effective for classification and image recognition problems. In this paper, we ask whether this success can be transferred to hypothesis testing: if a neural netw…