Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientist
Nonlinear Sciences
Adaptation and Self-Organizing Systems
Scientist
University of Cologne
A gauge theoretical view of the charge concept in Einstein gravity
A neural model for multi-expert architectures
A numeric solution for metric-affine gravity and Einstein's gravitational theory with Proca matter
Approximate Inference and Stochastic Optimal Control
Learning a world model and planning with a self-organizing, dynamic neural system
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