Long Short Term Memory

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network designed to process sequential data by learning long-term dependencies, enabling accurate predictions and classifications in various applications. Current research focuses on enhancing LSTM architectures, such as incorporating convolutional layers, attention mechanisms, and hybrid models combining LSTMs with other deep learning techniques like transformers or graph neural networks, to improve efficiency and accuracy. This work is significant because LSTMs are proving highly effective across diverse fields, from financial forecasting and environmental monitoring to medical image analysis and activity recognition, offering powerful tools for analyzing complex temporal data.

Papers

February 21, 2023

A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction
Ruiyuan Jiang, Shangbo Wang, Yuli Zhang
Long Short Term Memory Self Attention Traffic Datasets Accurate Traffic Prediction

February 20, 2023

February 18, 2023

Neural Attention Memory
Hyoungwook Nam, Seung Byum Seo
Long Short Term Memory Attention Mechanism Memory Augmented Long Range Attention

February 11, 2023

Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications
Francesco Semeraro, Jon Carberry, Angelo Cangelosi
Deep Learning Convolutional Neural Network Long Short Term Memory Human Robot Interaction Activity Recognition Human Robot Collaboration Dyadic Regression Model

February 10, 2023

Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
Bharat Bohara, Raymond I. Fernandez, Vysali Gollapudi, Xingpeng Li
Long Short Term Memory Load Forecasting Bidirectional Long Short Term Memory

February 8, 2023

Short-Term Memory Convolutions
Grzegorz Stefański, Krzysztof Arendt, Paweł Daniluk, Bartłomiej Jasik, Artur Szumaczuk
Long Short Term Memory Inference Latency

February 5, 2023

An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction
Jihan Ghanim, Maha Issa, Mariette Awad
Long Short Term Memory Load Forecasting Power Consumption Seasonal Trend Decomposition

February 3, 2023

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
Elise Özalp, Georgios Margazoglou, Luca Magri
Long Short Term Memory LSTM Network Full State Reconstruction State of the Art Forecasting Kill Chaos LSTM Model

February 2, 2023

January 30, 2023

Long Short-Term Memory Neural Network for Temperature Prediction in Laser Powder Bed Additive Manufacturing
Ashkan Mansouri Yarahmadi, Michael Breuß, Carsten Hartmann
Long Short Term Memory Unsupervised Model Thermal Management Laser Powder Bed Fusion Temperature Prediction Temperature Distribution

January 25, 2023

Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data
Menna Nawar, Moustafa Shomer, Samy Faddel, Huangjie Gong
Deep Learning Model Transfer Learning Long Short Term Memory Transformer Model Case Relevance Limited Data Load Forecasting

January 23, 2023

LSTM and CNN application for core-collapse supernova search in gravitational wave real data
Alberto Iess, Elena Cuoco, Filip Morawski, Constantina Nicolaou, Ofer Lahav
Machine Learning Long Short Term Memory Real Data Gravitational Wave Event Collapse Single Shot Detector Multiple Detector Type Ia Supernova

January 17, 2023

January 15, 2023

Distributed LSTM-Learning from Differentially Private Label Proportions
Timon Sachweh, Daniel Boiar, Thomas Liebig
Differential Privacy Long Short Term Memory Temporal Constraint Label Proportion

January 12, 2023

LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks
Nelly Elsayed, Zag ElSayed, Anthony S. Maida
Recurrent Neural Network Long Short Term Memory Weight Sharing

January 7, 2023

RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
Hamid Gharagozlou, Javad Mohammadzadeh, Azam Bastanfard, Saeed Shiry Ghidary
Long Short Term Memory Back Propagation Positive Reinforcement Bidirectional Encoder Representation From Transformer Answer Selection Artificial Bee Colony

January 6, 2023

Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads
Elahe Sherafat, Bilal Farooq, Amir Hossein Karbasi, Seyedehsan Seyedabrishami
Long Short Term Memory Built Road

Long Short Term Memory

Papers

A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction

Exploring the Advantages of Transformers for High-Frequency Trading

Molecular design method based on novel molecular representation and variational auto-encoder

Neural Attention Memory

Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications

Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM

Short-Term Memory Convolutions

An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos

A comparative study of statistical and machine learning models on near-real-time daily emissions prediction

A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics

Long Short-Term Memory Neural Network for Temperature Prediction in Laser Powder Bed Additive Manufacturing

Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data

LSTM and CNN application for core-collapse supernova search in gravitational wave real data

Leveraging Vision-Language Models for Granular Market Change Prediction

Predictive Modeling of Coronal Hole Areas Using Long Short-Term Memory Networks

Distributed LSTM-Learning from Differentially Private Label Proportions

LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks

RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm

Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads