Explainable Machine Learning Group Homepage
This is the home of the Explainable Machine Learning research group of the Department for Computer Vision and Machine Learning of the Max Planck Institute for Informatics. Here, we provide an overview as well as all the details on our ongoing and past work around Explainability in Machine Learning, including generation of explanations for black box models, inherently interpretable neural network approaches, and their applications.
News
6/10/10 DASH was accepted at NeurIPS 2024! Vancouver, here we come.
6/27/24 Ada joins the team as the very first PhD student. Welcome!
6/10/24 Our lab got an OpenAI grant for API credits as part of the OpenAI Researcher Access program.
1/1/24 The Explainable Machine Learning Group was founded.
Highlights
Our Research
Interested in Explainability of Machine Learning models? See at a glance!
Our Projects
We are interested in all facets of Explainability in Machine Learning and beyond. Get more information on individual projects from our group.
Our Team
Great research happens in a great environment. Meet our diverse team that makes this possible!