1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.HC2026
ToMigo: Interpretable Design Concept Graphs for Aligning Generative AI with Creative Intent
Lena Hegemann, Xinyi Wen, Michael A. Hedderich +2
Generative AI often produces results misaligned with user intentions, for example, resolving ambiguous prompts in unexpected ways. Despite existing approaches to clarify intent, a…
q-bio.NC2024
Node-reconfiguring multilayer networks of human brain function
Tarmo Nurmi, Pietro De Luca, Maria Hakonen +2
Functional brain network properties are heavily influenced by how the the network nodes are defined. A common approach uses Regions of Interest (ROIs), i.e., predetermined collecti…
physics.soc-ph2023★ 1 cited
Subnetwork enumeration algorithms for multilayer networks
Tarmo Nurmi, Mikko Kivelä
To understand the structure of a network, it can be useful to break it down into its constituent pieces. This is the approach taken in a multitude of successful network analysis me…