Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Learning long-term dependencies in NARX recurrent neural networks
Hierarchical Recurrent Neural Networks for Long-Term Dependencies
Learning in the Recurrent Random Neural Network
Learning Long-Term Dependencies with Gradient Descent is Difficult
On the Convergence Rate of Training Recurrent Neural Networks
Training and Analysing Deep Recurrent Neural Networks
Recurrent Neural Networks for Time Series Forecasting
A time delay neural network architecture for efficient modeling of long temporal contexts.
Recurrent neural networks and robust time series prediction
Recurrent Neural Networks for Time Series Classification
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Sequence-discriminative training of recurrent neural networks
Advances in optimizing recurrent networks
Learning compact recurrent neural networks
On the Approximation Capability of Recurrent Neural Networks
Understanding and Controlling Memory in Recurrent Neural Networks
Capacity and Trainability in Recurrent Neural Networks
using recurrent neural networks for time series .
ARTIFICIAL NEURAL NETWORK LEARNING OF NONSTATIONARY BEHAVIOR IN TIME SERIES
The use of NARX neural networks to predict chaotic time series
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis
Enhancing Electric Power Quality Using UPQC: A Comprehensive Overview
Local and Wide-Area PMU-Based Decentralized Dynamic State Estimation in Multi-Machine Power Systems
Learning internal representations by error propagation
A linear fractional transform (LFT) based model for interconnect parametric uncertainty
A Computer Network Attack Taxonomy and Ontology