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Author

Wouter W. L. Nuijten

2 papers indexed here

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Preprint Aug 2026

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

This work expresses multi-output Gaussian process regression as a Forney-style factor graph in which a nearest-neighbor chain orders a fixed candidate set of inputs into a one-dimensional sequence, and compares the factor-graph formulation against an exact kernel-matrix baseline, a sparse-variational inducing-point bas...

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

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