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209423f076b6479ab3a4f45886e30306-Paper-Conference.pdf
Neural Information Processing Systems
However, it is unclear how to best fit low-rank RNNs to data consisting of noisy observations of an underlying stochastic system. Here, we propose to fit stochastic low-rank RNNs with variational sequential Monte Carlo methods.
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