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https://cris.tau.ac.il/en/publications/learning-low-dimensional-state-spaces-with-overparameterized-recu/
LEARNING LOW DIMENSIONAL STATE SPACES WITH OVERPARAMETERIZED RECURRENT NEURAL NETS - Tel Aviv...
https://openreview.net/forum?id=k9CF4h3muD
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets | OpenReview
Linear RNNs optimized with gradient descent have implicit bias leading to solutions with low dimensional state spaces leading to non-trivial extrapolation.
neural nets
learning
low
dimensional
state
https://jmlr.org/papers/v26/24-1547.html
Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning
stochastic gradient descent
characterizing
dynamical
stability
learning