Author

Wouter W. L. Nuijten

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Preprint Aug 2026

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression

Multi-output Gaussian process regression scales cubically in the number of observations times outputs, and dense kernel-matrix methods need bespoke handling whenever different outputs are observed at different inputs. We express multi-output Gaussian process regression as a Forney-style factor graph in which a nearest-...

Wouter W. L. Nuijten, Esther G. van Pelt, Albert Podusenko et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Renormalising Generative Models for Active Inference: Foundations, Derivations, and Verification

This paper provides a self-contained, derivation-oriented account of RGMs, clarifying the theory and separating it from its original implementation context, and makes RGMs more transparent, auditable, and reproducible, providing a foundation for future quantitative evaluation and development on machine-learning benchma...

Karim Zaghw, A. Pashea, M. Pritsch et al. · 0 citations