TUTORIALS
PAPERS
A
recurrent neural network without chaos Thomas Laurent, James von Brecht
QuasiRecurrent
Neural Networks James Bradbury, Stephen Merity, Caiming Xiong, Richard
Socher
SampleRNN:
An Unconditional EndtoEnd Neural Audio Generation Model Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh
Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, Yoshua Beng
M Gemici et al., Generative Temporal Models with Memory
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Generalized Method of Wavelet Moments Structured Inference Networks for Nonlinear State Space Models
Anirudh Goyal, Alex Lamb, Ying Zhang, Saizheng Zhang, Aaron Courville and Yoshua Bengio, Professor Forcing: A New Algorithm for Training Recurrent Networks, in: Advances in Neural Information Processing Systems 29 (NIPS 2016), pages 46014609, Curran Associates, Inc., 2016
Felix A. Gers
,
Douglas Eck
,
Jürgen Schmidhuber, Applying LSTM to Time Series Predictable through TimeWindow Approaches Jan Koutník,
Klaus Greff,
Faustino Gomez,
Jürgen Schmidhuber, A Clockwork RNN, Feb 2014

