209423f076b6479ab3a4f45886e30306-Paper-Conference.pdf

Feb-9-2026, 07:46:00 GMT–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.

artificial intelligence, deep learning, machine learning, (20 more...)

Neural Information Processing Systems

Feb-9-2026, 07:46:00 GMT

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Inferring stochastic low-rank recurrent neural networks from neural data Matthijs Pals 1,2 A Erdem Sa gtekin 1,2,3 Felix Pei 1,2 Manuel Gloeckler

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