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 +5
Finetuning methods for foundation models usually change weights, prompts, or hidden states, while leaving the residual topology fixed. We ask whether residual topology itself can b…
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…