Our paper “Is there a role for statistics in artificial intelligence?” has been accepted at Advances in Data Analysis and Classification.
Author Archives: LedererLab
Vanishing gradients
We have analized the vanishing-gradient problem in deep learning and potential remedies here. Congratulations, Leni! 🏄
Two new papers on deep learning
We two new papers on deep learning, one on targeted deep learning and one on robust deep learning. Well done, Shih-Ting!
Regularized neural networks
The published version of “Statistical guarantees for regularized neural networks” can now be found
here.
Paper on sparse deep learning accepted
Our paper “Statistical guarantees for regularized neural networks” has been accepted at Neural Networks. Congrats, Mahsa and Fang! 🧉
Two recent biostats papers now online
FDR control rev.
Our paper “Aggregating Knockoffs for False Discovery Rate Control with an Application to Gut Microbiome Data” has now been published. Congratulations again to Fang!
Paper on FDR control accepted
Our paper “Aggregated false discovery rate control” has been accepted at Entropy. Great job, Fang! 🎬
Paper on brain connectivities accepted
Our paper “Integrating additional knowledge into the estimation of graphical models” is now accepted at the International Journal of Biostatistics. Congratulations, Yunqi! ⛄
Activation Functions in Artificial Neural Networks
We have composed an overview of activation functions in artificial neural networks here.
Johannes Lederer 