We have submitted a new paper “copula-based normalizing flows.” Great to work with you, Mike and Asja! ☄️

We have analized the vanishing-gradient problem in deep learning and potential remedies here. Congratulations, Leni! 🏄

We two new papers on deep learning, one on targeted deep learning and one on robust deep learning. Well done, Shih-Ting!

We have composed an overview of activation functions in artificial neural networks here.

We analyze the optimization landscapes of feedforward neural networks here. We show especially that the landscapes of wide networks do not have spurious local minima.

We have discussed the role of statistics in artificial intelligence here.

We have established risk bounds for robust deep learning here.

We have put a new paper about layer sparsity in neural networks on arXiv.

We have derived statistical guarantees for deep learning here. Well done, Mahsa and Fang! ⚡⚡⚡