Author

S. Wildt

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#machine learning Jul 2026

Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning

Manifold-Constrained Hyper-Connections, a generalisation of residual connections, is investigated as a novel PEFT approach, wrapping frozen OLMo-2 backbones with learned residual routing modules, identifying residual routing as a distinct and promising novel PEFT axis.

Valentijn Oldenburg, Floris de Kam, Bente Zuijdam et al. · arXiv.org · 1 citation

Aug 2026

Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study

This study reproduces the effectiveness of MORAL, a post-processing method that improves exposure-based fairness while maintaining competitive utility, and shows that exposure-based metrics uncover biases hidden by $\Delta_\mathrm{DP}$ and that MORAL reduces these biases with minimal utility loss across diverse setting...

Valentijn Oldenburg, F. D. Kam, Steffen Wildt et al. · Trans. Mach. Learn. Res. · 0 citations