1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AI2025★ 1 cited
AI Alignment at Your Discretion
Maarten Buyl, Hadi Khalaf, Claudio Mayrink Verdun +3
In AI alignment, extensive latitude must be granted to annotators, either human or algorithmic, to judge which model outputs are `better' or `safer.' We refer to this latitude as a…
cs.LG2021
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer
Maarten Buyl, Tijl De Bie
Learning and reasoning over graphs is increasingly done by means of probabilistic models, e.g. exponential random graph models, graph embedding models, and graph neural networks. W…