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A framework combining row-wise PCA with linearly-constrained multi-output GP can effectively model constrained multi-field data while treating all fields symmetrically

we propose a robust framework for jointly modeling constrained multi-field data. Our approach first leverages a specific PCA procedure for multi-field data, coined row-wise PCA, which has the interesting property of preserving the constraint in the latent space
Machine Learning (Statistics)29 Aug 2026

http://arxiv.org/abs/2608.25709v1