Explaining Deep Neural Networks
Lead
Prof. Dr. Grégoire Montavon
Dept. of Mathematics and Computer Science, Institute for Computer Science
Arnimallee 7,
14195
Berlin
Explainable AI, Machine Learning, Data Science
The Junior Research Group of Prof. Dr. Grégoire Montavon advances the foundations and algorithms of explainable AI (XAI) in the context of deep neural networks. One particular focus is on closing the gap between existing XAI methods and practical desiderata. Examples include using XAI to build more trustworthy and autonomous machine learning models and using XAI to model the behavior of complex real-world systems so that the latter become meaningfully actionable. In future research, the team explores: (1) how to use XAI to assess, on which data a deep neural network model can be trusted to perform autonomously or requires human intervention, and (2) how to use XAI in combination with a deep neural network to model complex real-world systems and identify actionable components. Grégoire Montavon and his team will collaborate with the members of BIFOLD’s “Explainable Artificial Intelligence Lab” (XAI-Lab).
Explaining Predictive Uncertainty by Exposing Second-Order Effects
Explainable AI for Time Series via Virtual Inspection Layers
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
Photo recap: BIFOLD New Year's reception
At its New Year's reception BIFOLD welcomed a series of distinguished guests and friends from Berlin's AI community.
Photo recap: All Hands Meeting 2023
On October 9 and 10, 2023, BIFOLD welcomed the other Geman AI centers (ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, MCML, and the DFKI) in Berlin. The annual meeting featured guests, partners, visitors, and researchers from all over Germany.
AI centers are the foundation of the German AI ecosystem
On October 9th and 10th, 2023, the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin invited scientists from the university AI competence centers (BIFOLD, ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, and MCML) and the DFKI to Berlin to present and discuss the latest results of their research on the EUREF campus.