We show that DEQs are sensitive to the higher order statistics of the matrix families from which they are initialized. In particular, initializing with or- thogonal or symmetric matrices allows for greater stability in training.
Jul 19, 2022 · We show that DEQs are sensitive to the higher order statistics of the matrix families from which they are initialized.
Deep equilibrium networks are sensitive to initialization statistics. Atish Agarwala and Sam Schoenholz. ICML 2022. Page 2. What is a Deep Equilibrium Network ( ...
Jul 19, 2022 · Deep equilibrium networks are sensitive to initialization statistics. Atish Agarwala 1 Samuel S. Schoenholz 1. Abstract. Deep equilibrium ...
Deep equilibrium networks are sensitive to initialization statistics. In. International Conference on Machine Learning, pages 136–160. PMLR, 2022. [2] A ...
4 days ago · Deep equilibrium networks (DEQs) demonstrate sensitivity to the statistical properties of initialization matrices. Specifically, using ...
and Schoenholz, S. S. Deep equilibrium net- works are sensitive to initialization statistics. In Inter- national Conference on Machine Learning, pp. 136–160 ...
Feb 1, 2023 · This paper analyzes the training and generalization for a implicit neural network with random initialization.
A Koopman spectral analysis is performed for deep equilibrium models. •. The analysis identifies stable dynamics determined by deep equilibrium models.
Deep equilibrium networks are sensitive to initialization statistics ... Samuel S. Schoenholz. Deep equilibrium networks (DEQs) are a ...