Machine Learning

file missing
Deep Neural Networks can challenge humans in complex perceptual tasks. At the same time, neural networks are extremely limited in terms of data efficiency, robustness to minimal perturbations and generalisation to distribution shifts. A major goal of the lab is to shed light on the inner workings of neural networks and to use these insights to rethink the foundations of Deep Learning.
University of Tuebingen BCCN CIN MPI