On the Memory Mechanism of Tensor-Power Recurrent Models

2 March 2021

Papers citing "On the Memory Mechanism of Tensor-Power Recurrent Models"

9 / 9 papers shown

Title
Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting of Loop Current Yu Huang Yufei Tang H. Zhuang James H. VanZwieten Laurent Chérubin AI4TS 35 12 0 04 Aug 2020
Learning Long-Term Dependencies in Irregularly-Sampled Time Series Mathias Lechner Ramin Hasani AI4TS 51 129 0 08 Jun 2020
Do RNN and LSTM have Long Memory? Jingyu Zhao Feiqing Huang Jia Lv Yanjie Duan Zhen Qin Guodong Li Guangjian Tian 99 144 0 06 Jun 2020
Learning to Reason with Third-Order Tensor Products Imanol Schlag Jürgen Schmidhuber NAI 53 64 0 29 Nov 2018
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning Guillaume Rabusseau Tianyu Li Doina Precup 120 41 0 04 Jul 2018
Compressing Recurrent Neural Network with Tensor Train Andros Tjandra S. Sakti Satoshi Nakamura 59 110 0 23 May 2017
Gradient Descent Learns Linear Dynamical Systems Moritz Hardt Tengyu Ma Benjamin Recht 110 240 0 16 Sep 2016
On Multiplicative Integration with Recurrent Neural Networks Yuhuai Wu Saizheng Zhang Yanzhe Zhang Yoshua Bengio Ruslan Salakhutdinov 65 156 0 21 Jun 2016
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks Çağlar Gülçehre Kyunghyun Cho Razvan Pascanu Yoshua Bengio 96 170 0 07 Nov 2013