Architectural choices for interpretability and thermodynamic consistency in Physically Recurrent Neural Networks in the low-data regime
Read the original at arxiv.org→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....
Original headline: "On architectural choices for interpretability and thermodynamic consistency in Physically Recurrent Neural Networks in the low-data regime"
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- Oct 6, 04:00 UTC arXiv cs.LG lead source On architectural choices for interpretability and thermodynamic consistency in Physically Recurrent Neural Networks in the low-data regime