96 citations · 97 across the 4 of their papers we have counts for
4 papers
Adaptive self-organized criticality in deep neural networks
Simon Vock, Christian Meisel
Deep neural networks are high-dimensional dynamical systems whose function depends on the stable propagation of activity and perturbations across many layers. Maintaining suitable…
Critical dynamics governs deep learning
Simon Vock, Christian Meisel
The rapid advances in artificial intelligence (AI) have largely been driven by scaling deep neural networks (DNNs) - increasing model size, data, and computational resources. Yet p…
Effect of diluted connectivities on cluster synchronization of adaptively coupled oscillator networks
Simon Vock, Rico Berner, Serhiy Yanchuk +1
Synchronization in networks of oscillatory units is an emergent phenomenon present in various systems, such as biological, technological, and social systems. Many real-world system…
Desynchronization transitions in adaptive networks
Rico Berner, Simon Vock, Eckehard Schöll +1
Adaptive networks change their connectivity with time, depending on their dynamical state. While synchronization in structurally static networks has been studied extensively, this…