Machine Learning

This page contains all content related to Machine Learning research, including applications in reservoir computing, network analysis, and bio-inspired systems.

Key Research Areas

• Reservoir Computing: Developing efficient machine learning approaches using dynamical systems
• Network-based ML: Machine learning on complex networks and graph structures
• Bio-inspired Learning: Learning algorithms inspired by biological information processing

Browse the content below to explore publications, projects, and collaborations in machine learning.