schulter
Computer scientist with specialization in machine learning and robotics. PhD in computational Biology where I used graph deep learning to predict cancer genes.
Max Planck Institute for molecular GeneticsBerlin
schulter's Stars
schulter/EMOGI
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
schulter/DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)