Recurrent Neural Network

Recurrent Neural Networks (RNNs) are a class of neural networks designed to process sequential data by maintaining an internal state that is updated over time. Current research focuses on improving RNN efficiency and stability, exploring variations like LSTMs and GRUs, and investigating their application in diverse fields such as time series forecasting, natural language processing, and dynamical systems modeling. This includes developing novel architectures like selective state space models for improved memory efficiency and exploring the use of RNNs in conjunction with other architectures, such as transformers and convolutional neural networks. The resulting advancements have significant implications for various applications requiring sequential data processing, offering improved accuracy, efficiency, and interpretability.

Papers

January 13, 2022

Recursive Least Squares Policy Control with Echo State Network
Chunyuan Zhang, Chao Liu, Qi Song, Jie Zhao
Recurrent Neural Network Least Square Control Policy Echo State Network Policy Inference

January 7, 2022

Churn prediction in online gambling
Florian Merchie, Damien Ernst
Recurrent Neural Network LSTM Network Churn Prediction Sport Betting Problem Gambling

January 6, 2022

Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Lei Cheng, Ruslan Khalitov, Tong Yu, Zhirong Yang
Classification Code Recurrent Neural Network Temporal Convolutional Network Sequential Data Sequence Classification Dilated Convolutional Neural Network Sequential Observation

January 5, 2022

Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks
Werner van der Veen
Neural Network Recurrent Neural Network Neuromorphic Computing Fast Propagation Energy Efficient Neuromorphic Izhikevich Neuron

January 4, 2022

HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network
Bulla Rajesh, Abhishek Kumar Gupta, Ayush Raj, Mohammed Javed, Shiv Ram Dubey
Recurrent Neural Network Long Short Term Memory Joint Photographic Expert Group Speech Recognition Accuracy Word Recognition Handwritten Word Recognition

January 1, 2022

High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series
Yuyang Chen, Kaiming Bi, Chih-Hang J. Wu, David Ben-Arieh, Ashesh Sinha
Time Series Recurrent Neural Network Bayesian Optimization Epidemic Model Optimal Solution RNN Model High Dimensional Bayesian Optimization Global Optimization Problem

December 31, 2021

Training and Generating Neural Networks in Compressed Weight Space
Kazuki Irie, Jürgen Schmidhuber
Training Data Recurrent Neural Network Weight Matrix Neural Generation Weight Space

December 30, 2021

Learning Agent State Online with Recurrent Generate-and-Test
Amir Samani, Richard S. Sutton
Recurrent Neural Network Sequential Data Recurrent Event Step Prediction Fuzzy Trace Agent Learning Agent State

December 29, 2021

December 23, 2021

December 22, 2021

Collaborative adversary nodes learning on the logs of IoT devices in an IoT network
Sandhya Aneja, Melanie Ang Xuan En, Nagender Aneja
Time Series Recurrent Neural Network Internet of Thing Internet of Thing Device Internet of Thing Network Log Message Intelligent Internet

December 20, 2021

DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks for Human Motion Prediction
Zigeng Yan, Di-Hua Zhai, Yuanqing Xia
Recurrent Neural Network Motion Prediction Temporal Graph Human Motion Prediction Temporal Convolutional Network Quater GCN

December 18, 2021

Earthquake Nowcasting with Deep Learning
Geoffrey Fox, John Rundle, Andrea Donnellan, Bo Feng
Deep Learning Recurrent Neural Network Data Driven Nowcasting Seismic Activity

December 17, 2021

December 16, 2021

December 12, 2021

Visualising and Explaining Deep Learning Models for Speech Quality Prediction
H. Tilkorn, G. Mittag, S. Möller
Deep Learning Model Recurrent Neural Network RNN Model Non Intrusive Speech Speech Quality Prediction Speech Frame

Recurrent Neural Network

Papers

Recursive Least Squares Policy Control with Echo State Network

Churn prediction in online gambling

Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks

Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks

HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network

High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series

Training and Generating Neural Networks in Compressed Weight Space

Learning Agent State Online with Recurrent Generate-and-Test

Universal Transformer Hawkes Process with Adaptive Recursive Iteration

Temporal Attention Augmented Transformer Hawkes Process

Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification

Hierarchical Multi-Building And Multi-Floor Indoor Localization Based On Recurrent Neural Networks

Collaborative adversary nodes learning on the logs of IoT devices in an IoT network

DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks for Human Motion Prediction

Earthquake Nowcasting with Deep Learning

Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring

A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models

Explainable Natural Language Processing with Matrix Product States

EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network

Visualising and Explaining Deep Learning Models for Speech Quality Prediction