← Search

Hakan Aktas

2 accepted papers

2026

Sheaves Reloaded: A Direction Awakening

ICLR 2026poster

Sheaf Neural Networks (SNNs) are a powerful algebraic-topology generalization of Graph Neural Networks (GNNs), and have been shown to significantly improve our ability to model complex relational data. While the GNN literature proved that incorporating directionality can substantially boost performa…

Cited by 0SourcecodeScholar
2024

Correspondence Learning Between Morphologically Different Robots via Task Demonstrations

RA-L 2024

We observe a large variety of robots in terms of their bodies, sensors, and actuators. Given the commonalities in the skill sets, teaching each skill to each different robot independently is inefficient and not scalable when the large variety in the robotic landscape is considered. If we can learn t

Cited by 7SourceScholar