Emmanouil Giannakakis

According to our database, Emmanouil Giannakakis authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning.

Mani Hamidi, Sina Khajehabdollahi, Emmanouil Giannakakis, Tim Jakob Schäfer, Anna Levina, Charley M. Wu

CoRR, 2024

Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent.

Emmanouil Giannakakis, Sina Khajehabdollahi, Anna Levina

CoRR, 2024

Revising clustering and small-worldness in brain networks.

Tanguy Fardet, Emmanouil Giannakakis, Lukas Paulun, Anna Levina

CoRR, 2024

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks.

Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Jakob Schäfer, Georg Martius, Anna Levina

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Locally adaptive cellular automata for goal-oriented self-organization.

Sina Khajehabdollahi, Emmanouil Giannakakis, Victor Buendia, Georg Martius, Anna Levina

CoRR, 2023

2022

When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents.

Sina Khajehabdollahi, Jan Prosi, Emmanouil Giannakakis, Georg Martius, Anna Levina

Artif. Life, 2022

2021

The dynamical regime and its importance for evolvability, task performance and generalization.

Jan Prosi, Sina Khajehabdollahi, Emmanouil Giannakakis, Georg Martius, Anna Levina

Proceedings of the 2021 Conference on Artificial Life, 2021

Reservoir computing with self-organizing neural oscillators.

Sina Khajehabdollahi, Emmanouil Giannakakis, Jan Prosi, Anna Levina

Proceedings of the 2021 Conference on Artificial Life, 2021

2020

Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions.

Emmanouil Giannakakis, Cheol E. Han, Bernd Weber, Frances Hutchings, Marcus Kaiser

Neurocomputing, 2020