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cs.LG2023★ 1 cited
Linear pretraining in recurrent mixture density networks
Hubert Normandin-Taillon, Frédéric Godin, Chun Wang
We present a method for pretraining a recurrent mixture density network (RMDN). We also propose a slight modification to the architecture of the RMDN-GARCH proposed by Nikolaev et…
cs.LG2018★ 3 cited
Predefined Sparseness in Recurrent Sequence Models
Thomas Demeester, Johannes Deleu, Fréderic Godin +1
Inducing sparseness while training neural networks has been shown to yield models with a lower memory footprint but similar effectiveness to dense models. However, sparseness is ty…