3 papers
cs.LG2026
Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study
Valentijn Oldenburg, Floris de Kam, Stef de Wildt +1
In fair ranked link prediction, demographic parity () is a common fairness metric. Yet, Mattos et al. (2025) argue that it fails to detect exposure bias because it i…
cs.LG2026
Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning
Valentijn Oldenburg, Floris de Kam, Bente Zuijdam +4
Most parameter-efficient finetuning (PEFT) methods adapt weights or activations, thus leaving one of the key Transformer components unchanged: residual connections. This paper inve…
cs.LG2024
Forecasting Smog Clouds With Deep Learning
Valentijn Oldenburg, Juan Cardenas-Cartagena, Matias Valdenegro-Toro
In this proof-of-concept study, we conduct multivariate timeseries forecasting for the concentrations of nitrogen dioxide (NO2), ozone (O3), and (fine) particulate matter (PM10 & P…