On architectural choices for interpretability and thermodynamic consistency in Physically Recurrent Neural Networks in the low-data regime

arXiv:2610.04067v1 Announce Type: new Abstract: In this paper, we unravel the effect of different decoder architectures on the interpretability of the latent space of the Physically Recurrent Neural Network. Particular emphasis is given to a new weight normalization constraint, which acts as a regu…

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1. 2026-10-06 04:00 · arXiv cs.LG
   On architectural choices for interpretability and thermodynamic consistency in Physically Recurrent Neural Networks in the low-data regime