Zeynep Akata
Zeynep Akata | |
|---|---|
| Alma mater | INRIA Grenoble-Rhônes-Alpes (PhD) |
| Scientific career | |
| Institutions | Technical University of Munich |
| Thesis | Contributions to large-scale learning for image classification (2014) |
| Doctoral advisor | Cordelia Schmid |
| Website | www |
Zeynep Akata is a Liesel Beckmann Distinguished professor of computer science at the Technical University of Munich where she leads the Interpretable and Reliable Machine Learning chair. Akata is also the director of the Helmholtz Institute for Explainable Machine Learning.