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

M. A. Maia, K. A. Meyer, A. M. C. M. van Gils +2

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…