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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term
  Memory (LSTM) Network

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network

9 August 2018
A. Sherstinsky
ArXivPDFHTML

Papers citing "Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network"

50 / 327 papers shown
Title
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced
  Learning and Efficiency
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency
Lorenzo Bergadano
Andrea Ceschini
Pietro Chiavassa
E. Giusto
B. Montrucchio
Massimo Panella
A. Rosato
23
0
0
03 Oct 2024
MARS: A neurosymbolic approach for interpretable drug discovery
MARS: A neurosymbolic approach for interpretable drug discovery
L. Delong
Yojana Gadiya
Paola Galdi
Jacques D. Fleuriot
Daniel Domingo-Fernández
150
2
0
02 Oct 2024
Foldable SuperNets: Scalable Merging of Transformers with Different
  Initializations and Tasks
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks
Edan Kinderman
Itay Hubara
Haggai Maron
Daniel Soudry
MoMe
49
1
0
02 Oct 2024
Squeeze-and-Remember Block
Squeeze-and-Remember Block
Rinor Cakaj
Jens Mehnert
Bin Yang
13
0
0
01 Oct 2024
PACE: Poisoning Attacks on Learned Cardinality Estimation
PACE: Poisoning Attacks on Learned Cardinality Estimation
Jintao Zhang
Chao Zhang
Guoliang Li
Chengliang Chai
30
8
0
24 Sep 2024
SPformer: A Transformer Based DRL Decision Making Method for Connected
  Automated Vehicles
SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles
Ye Han
Lijun Zhang
Dejian Meng
Xingyu Hu
Yixia Lu
22
1
0
23 Sep 2024
Inference-Friendly Models With MixAttention
Inference-Friendly Models With MixAttention
Shashank Rajput
Ying Sheng
Sean Owen
Vitaliy Chiley
76
1
0
23 Sep 2024
ART: Artifact Removal Transformer for Reconstructing Noise-Free
  Multichannel Electroencephalographic Signals
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals
Chun-Hsiang Chuang
Kong-Yi Chang
Chih-Sheng Huang
Anne-Mei Bessas
19
1
0
11 Sep 2024
Self-Supervised State Space Model for Real-Time Traffic Accident
  Prediction Using eKAN Networks
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks
Xin Tan
Meng Zhao
37
0
0
09 Sep 2024
NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack
  Through White Gaussian Noise
NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise
Abdullah Arafat Miah
Kaan Icer
Resit Sendag
Yu Bi
AAML
DiffM
36
1
0
03 Sep 2024
Fisher Information guided Purification against Backdoor Attacks
Fisher Information guided Purification against Backdoor Attacks
Nazmul Karim
Abdullah Al Arafat
Adnan Siraj Rakin
Zhishan Guo
Nazanin Rahnavard
AAML
51
1
0
01 Sep 2024
Harnessing Artificial Intelligence for Wildlife Conservation
Harnessing Artificial Intelligence for Wildlife Conservation
Paul Fergus
C. Chalmers
Steve Longmore
Serge Wich
25
5
0
30 Aug 2024
Point Neuron Learning: A New Physics-Informed Neural Network
  Architecture
Point Neuron Learning: A New Physics-Informed Neural Network Architecture
Hanwen Bi
T. Abhayapala
PINN
21
3
0
30 Aug 2024
Variational Mode Decomposition and Linear Embeddings are What You Need
  For Time-Series Forecasting
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting
Hafizh Raihan Kurnia Putra
Novanto Yudistira
Tirana Noor Fatyanosa
AI4TS
31
0
0
28 Aug 2024
Autoregressive model path dependence near Ising criticality
Autoregressive model path dependence near Ising criticality
Yi Hong Teoh
R. Melko
AI4CE
41
1
0
28 Aug 2024
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking
  State Space Models
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
Shuaijie Shen
Chao Wang
Renzhuo Huang
Yan Zhong
Qinghai Guo
Zhichao Lu
Jianguo Zhang
Luziwei Leng
48
8
0
27 Aug 2024
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
Theo Di Piazza
32
0
0
21 Aug 2024
BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast
  Ultrasound Reports
BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports
Yuxuan Chen
Haoyan Yang
Hengkai Pan
Fardeen Siddiqui
Antonio Verdone
Qingyang Zhang
S. Chopra
Chen Zhao
Yiqiu Shen
22
2
0
21 Aug 2024
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier
Maryam Ostadsharif Memar
Navid Ziaei
Behzad Nazari
Ali Yousefi
26
0
0
12 Aug 2024
Hyper Recurrent Neural Network: Condition Mechanisms for Black-box Audio
  Effect Modeling
Hyper Recurrent Neural Network: Condition Mechanisms for Black-box Audio Effect Modeling
Yen-Tung Yeh
Wen-Yi Hsiao
Yi-Hsuan Yang
26
6
0
09 Aug 2024
On the choice of the non-trainable internal weights in random feature maps
On the choice of the non-trainable internal weights in random feature maps
Pinak Mandal
Georg Gottwald
Nicholas Cranch
TPM
40
1
0
07 Aug 2024
Earth System Data Cubes: Avenues for advancing Earth system research
Earth System Data Cubes: Avenues for advancing Earth system research
David Montero
Guido Kraemer
Anca Anghelea
C. Aybar
Gunnar Brandt
...
Francesco Martinuzzi
Martin Reinhardt
Maximilian Sochting
Khalil Teber
Miguel D. Mahecha
33
2
0
05 Aug 2024
Self-Supervised Learning for Text Recognition: A Critical Survey
Self-Supervised Learning for Text Recognition: A Critical Survey
Carlos Peñarrubia
J. J. Valero-Mas
Jorge Calvo-Zaragoza
74
1
0
29 Jul 2024
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph
  Representation Learning
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning
Xi Chen
Yun Xiong
Siwei Zhang
Jiawei Zhang
Yao Zhang
Shiyang Zhou
Xixi Wu
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AI4CE
33
1
0
26 Jul 2024
A Comprehensive Approach to Misspelling Correction with BERT and
  Levenshtein Distance
A Comprehensive Approach to Misspelling Correction with BERT and Levenshtein Distance
Amirreza Naziri
Hossein Zeinali
28
0
0
24 Jul 2024
Disentangling spatio-temporal knowledge for weakly supervised object
  detection and segmentation in surgical video
Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical video
Guiqiu Liao
M. Jogan
Sai Koushik
Eric Eaton
Daniel A. Hashimoto
VOS
46
1
0
22 Jul 2024
Adversarial Databases Improve Success in Retrieval-based Large Language
  Models
Adversarial Databases Improve Success in Retrieval-based Large Language Models
Sean Wu
Michael Koo
Li Yo Kao
Andy Black
L. Blum
Fabien Scalzo
Ira Kurtz
RALM
38
0
0
19 Jul 2024
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble
  Multi-Scenario Bi-GRU Networks
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks
Mohammed Alruqimi
L. D. Persio
OOD
21
4
0
15 Jul 2024
Augmented Neural Fine-Tuning for Efficient Backdoor Purification
Augmented Neural Fine-Tuning for Efficient Backdoor Purification
Nazmul Karim
Abdullah Al Arafat
Umar Khalid
Zhishan Guo
Nazanin Rahnavard
AAML
40
0
0
14 Jul 2024
Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI
  Hardware
Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware
J. Seekings
Peyton S. Chandarana
Mahsa Ardakani
Mohammadreza Mohammadi
Ramtin Zand
32
1
0
11 Jul 2024
ST-Mamba: Spatial-Temporal Mamba for Traffic Flow Estimation Recovery
  using Limited Data
ST-Mamba: Spatial-Temporal Mamba for Traffic Flow Estimation Recovery using Limited Data
Doncheng Yuan
Jianzhe Xue
Jinshan Su
Wenchao Xu
Haibo Zhou
Mamba
26
3
0
11 Jul 2024
Synthetic Electroretinogram Signal Generation Using Conditional
  Generative Adversarial Network for Enhancing Classification of Autism
  Spectrum Disorder
Synthetic Electroretinogram Signal Generation Using Conditional Generative Adversarial Network for Enhancing Classification of Autism Spectrum Disorder
Mikhail Kulyabin
P. Constable
Aleksei Zhdanov
Irene O. Lee
D. H. Skuse
D. A. Thompson
Andreas Maier
13
0
0
11 Jul 2024
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing
  Autoregressive Transformers
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers
Souradip Poddar
Youngmin Oh
Yao Lai
Hanqing Zhu
Bosun Hwang
David Z. Pan
27
2
0
10 Jul 2024
Research on Information Extraction of LCSTS Dataset Based on an Improved
  BERTSum-LSTM Model
Research on Information Extraction of LCSTS Dataset Based on an Improved BERTSum-LSTM Model
Yiming Chen
Haobin Chen
Simin Liu
Yunyun Liu
Fanhao Zhou
Bing Wei
13
0
0
26 Jun 2024
Extracting thin film structures of energy materials using transformers
Extracting thin film structures of energy materials using transformers
Chen Zhang
V. Niemann
Peter Benedek
Thomas F. Jaramillo
Mathieu Doucet
38
0
0
24 Jun 2024
AI-Driven Approaches for Optimizing Power Consumption: A Comprehensive
  Survey
AI-Driven Approaches for Optimizing Power Consumption: A Comprehensive Survey
Parag Biswas
Abdur Rashid
A. Biswas
Md Abdullah Al Nasim
Kishor Datta Gupta
Roy George
14
16
0
22 Jun 2024
Learned Graph Rewriting with Equality Saturation: A New Paradigm in
  Relational Query Rewrite and Beyond
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond
George-Octavian Barbulescu
Taiyi Wang
Zak Singh
Eiko Yoneki
42
1
0
19 Jun 2024
Probabilistic Temporal Prediction of Continuous Disease Trajectories and
  Treatment Effects Using Neural SDEs
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
J. Durso-Finley
Berardino Barile
Jean-Pierre Falet
Douglas L. Arnold
Nick Pawlowski
Tal Arbel
AI4CE
41
2
0
18 Jun 2024
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks
  with Iterative Reverse Concatenations and Recurrent Modules
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules
Min Li
Chen Chen
Z. Xiong
Ying Liu
Pengfei Rong
Shanshan Shan
Feng Liu
Hongfu Sun
Yang Gao
48
0
0
18 Jun 2024
Classification Modeling with RNN-Based, Random Forest, and XGBoost for
  Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
Classification Modeling with RNN-Based, Random Forest, and XGBoost for Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
Deri Siswara
A. M. Soleh
A. Wigena
18
0
0
12 Jun 2024
Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by
  Model-based Reinforcement Learning
Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning
Xuezhi Niu
Kaige Tan
Lei Feng
21
0
0
11 Jun 2024
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the
  Mining of Medical Textual Data
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data
Lingxi Xiao
Muqing Li
Yinqiu Feng
Meiqi Wang
Ziyi Zhu
Zexi Chen
34
16
0
23 May 2024
Learning Regularities from Data using Spiking Functions: A Theory
Learning Regularities from Data using Spiking Functions: A Theory
Canlin Zhang
Xiuwen Liu
32
0
0
19 May 2024
A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence
A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence
Tayab Uddin Wara
Ababil Hossain Fahad
Adri Shankar Das
Md. Mehedi Hasan Shawon
23
0
0
17 May 2024
Comparative Analysis of Predicting Subsequent Steps in Hénon Map
Comparative Analysis of Predicting Subsequent Steps in Hénon Map
S. VismayaV
Alok Hareendran
Bharath V Nair
S. S. Muni
Martin Lellep
14
0
0
15 May 2024
A review on data-driven constitutive laws for solids
A review on data-driven constitutive laws for solids
J. Fuhg
G. A. Padmanabha
N. Bouklas
B. Bahmani
WaiChing Sun
Nikolaos N. Vlassis
Moritz Flaschel
P. Carrara
L. Lorenzis
AI4CE
AILaw
31
32
0
06 May 2024
Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural
  Networks
Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural Networks
Daniel Fesalbon
AI4TS
25
0
0
03 May 2024
Three-layer deep learning network random trees for fault detection in
  chemical production process
Three-layer deep learning network random trees for fault detection in chemical production process
Ming Lu
Zhen Gao
Ying Zou
Zuguo Chen
Pei Li
AI4CE
19
1
0
01 May 2024
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary
  Differential Equations
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
Kaiqiao Han
Yi Yang
Zijie Huang
Xuan Kan
Yang Yang
...
Lifang He
Liang Zhan
Yizhou Sun
Wei Wang
Carl Yang
44
1
0
30 Apr 2024
Kernel Corrector LSTM
Kernel Corrector LSTM
Rodrigo Tuna
Yassine Baghoussi
Carlos Soares
João Mendes-Moreira
KELM
AI4TS
24
0
0
28 Apr 2024
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