Berkant Turan

ML Researcher @ IOL Group at ZIB | PhD Candidate @ TU Berlin | Member @ BMS

I am a first-year PhD candidate at the Institute of Mathematics, TU Berlin and a research associate at Zuse Institute Berlin (ZIB). Under the supervision of Prof. Sebastian Pokutta, I am currently part of the Interactive Optimization and Learning (IOL) research group at ZIB. Additionally, I am a member of the Berlin Mathematical School (BMS), which is part of the Math+ Excellence Cluster.

My current research focuses on the Interpretability of Deep Neural Networks. In particular, I am investigating the use of saliency maps created by feature selectors in a min-max game to gain valuable insights into the inner workings of black-box models.

Prior to joining IOL in 2022, I completed my Master’s thesis at the Fraunhofer Heinrich-Hertz Institute, where I worked on Deep Hybrid Discriminative-Generative Modeling. Specifically, I investigated the joint optimization of Variational Autoencoders (VAEs) and Residual Networks (ResNets) and analyzed the Out-of-Distribution detection behavior of these models in computer vision tasks.