5 papers
Trade-offs in Financial AI: Explainability in a Trilemma with Accuracy and Compliance
Patricia Marcella Evite, Ekaterina Svetlova, Doina Bucur
As Artificial Intelligence (AI) becomes increasingly embedded in financial decision-making, the opacity of complex models presents significant challenges for professionals and regu…
gFlora: a topology-aware method to discover functional co-response groups in soil microbial communities
Nan Chen, Merlijn Schram, Doina Bucur
We aim to learn the functional co-response group: a group of taxa whose co-response effect (the representative characteristic of the group showing the total topological abundance o…
Learning the mechanisms of network growth
Lourens Touwen, Doina Bucur, Remco van der Hofstad +2
We propose a novel model-selection method for dynamic networks. Our approach involves training a classifier on a large body of synthetic network data. The data is generated by simu…
Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations
Elia Cunegatti, Matteo Farina, Doina Bucur +1
Pruning-at-Initialization (PaI) algorithms provide Sparse Neural Networks (SNNs) which are computationally more efficient than their dense counterparts, and try to avoid performanc…
Parallels in the symbolism of star constellations
Doina Bucur
We answer the question whether, when forming constellations in the night sky, people in astronomical cultures around the world and through time consistently imagined and assigned t…