Our paper “Copula-Based Normalizing Flows” has been accepted at ICML. Cheers, Mike and Asja! 🥂
Our new paper “Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks” is now online. Well done, Mahsa and Fang! 🎉🎉
Our grant proposal Statistical Theories for Sparse Deep Learning was selected for funding by the German Research Foundation. Thank you! We are looking forward to working on an exciting topic! 🎬
Our paper “Topology Adaptive Graph Estimation in High Dimensions” is now accepted and published in Mathematics here. Cheers, Christian! 🍺
We have a new paper “VC-PCR: a prediction method based on supervised variable selection and clustering” about variable clustering in transcriptomics and in general. Great work especially from Rebecca, who just defended her PhD, and from Rainer and Bernadette, the two other members of our Belgian🇧🇪-American🇺🇸-German🇩🇪 tag team!
Our paper “Depth Normalization of Small RNA Sequencing: Using Data and Biology to Select a Suitable Method” has been accepted at Nucleic Acids Research. Congratulations, Yannick and Li-Xuan! 🎊
Our paper “Depth Normalization of Small RNA Sequencing: Using Data and Biology to Select a Suitable Method” is now available on arXiv. Great to work with you, Yannick and Li-Xuan! 🦠
Our paper “Tuning parameter calibration for personalized prediction in medicine” at EJS is now published here.
Somnath Chakraborty has secured a three-month fellowship from the RUB research school to visit us here in Bochum! Congratulations! 🥳
Our paper “Estimating the lasso’s effective noise” at JMLR is now online here.