The Cluster "Machine Learning" currently comprises 28 full members, i.e. scientists working directly in the field of machine learning.
There is the possibility of adding new members. Information about the admission procedure is provided by the Central Office of the Cluster.
works on questions of ethics, especially questions of cultural ethics, ethics and security, technology ethics, ethical questions of digital technology development and ethical questions of gender discourse
is interested in machine vision (optical flow estimation, 3D shape models, human shape and motion analysis, robust statistical methods, probabilistic models of the visual world) and computational neuroscience (probabilistic models of the neural code and applications of neural decoding in neural prosthetics)
works on ML algorithms for embodied agent to make them learn in a developmental fashion. Under the hood we study theory and practice of reinforcement learning algorithms, representation learning, and non-standard deep-learning architectures.