Long Short-Term Memory

Follow this topic Ask about this topic

Recent momentum

-80%

4 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Long Short-Term Memory.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Long Short-Term Memory.

103 papers

Latest in Long Short-Term Memory

Open your feed →

X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation
Sep 12, 2026Abdul Karim Gizzini, Yahia MedjahdiChannel Estimation Cnn-Lstm
UniMPA: A Unified Memory-Prediction-Action Model via Action-Grounded Transition Modeling
Sep 11, 2026Wei Li, Rui Shao, Jie He +3Diffusion-Based Vision-Language-Actions Action-Conditioned Prediction
Routing Dense Layouts with History-Aware Offline Reinforcement Learning using LSTM
Sep 8, 2026Afsara Khan, Austin RovinskiDynamic Routing Offline Safe Reinforcement Learning
When History Is Multimodal: Rethinking Context Management for Long-Horizon Agents
Aug 30, 2026Jiaqi Su, Cong Pang, Jiawei Hong +4Multimodal Memory Long-Horizon Agents
EEG Decoding Using CNN and LSTM Network
Aug 13, 2026Athanasios KaragounisBrain-Computer Interface Cnn-Lstm
Dual-Model Sentiment Analysis of Consumer Reviews in the Retail Coffee Sector Using Machine Learning and Deep Learning Approaches
Aug 12, 2026Muntasir Hasan Kanchan, Md. Alamgir Hossain, Md. Samiul Islam +1Sentiment Analysis Deep Learning Framework
Air Quality Station Simulation via LSTM and Attention-Based Modelling
Aug 12, 2026Alexander Kostadinov, Petar O. Hristov, Dessislava Petrova-AntonovaAir Pollution Cnn-Lstm
A Hybrid Framework of Vision Transformer and Gated Recurrent Unit for Detection of Mosquito Diseases
Aug 12, 2026Danial Sharifrazi, Saadat Behzadi, Nouman Javed +3Malaria Gated Recurrent Unit
XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems
Aug 11, 2026Milan ZdravkovićEnergy Forecasting Xgboost
LogiShot: Logically Coherent Cross-Shot Video Generation
Aug 9, 2026Shuai Guo, Yuhang Yang, Zeyu Zhang +4Cinematic Video Generation Cross-Shot Coherence
Search over the Visual World: Persistent Visual Memory, Layered Indexes, and Source-Grounded Evidence
Aug 8, 2026Sankalp Nagaonkar, Rohit Garg, Ankit Raj +2Index Long Short-Term Memory
Addressable Memory for Video World Models
Aug 7, 2026Xindi Wu, Sven Elflein, James Lucas +5Long Short-Term Memory Explicit Memory
Beyond the Black Box: Interpretable Models of Human Randomisation Failures
Aug 7, 2026Ngoc Linh DaoInterpretable Machine Learning Generalizable Time-Series Behavioral Modeling
Human-AI Perceptual Alignment by Playing Hues and Cues
Aug 7, 2026Nuria Alabau-Bosque, Jorge Vila-Tomás, Paula Daudén-Oliver +3Perceptual Tasks Contrastive Language-Image Pre-Training
AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies
Aug 7, 2026Jinhe Tang, Weiming ZhiVisuomotor Policy Action Chunks
Beyond Foundation Models: Dimension-Aware Neural Architecture Search with Small-Data Representation Models for Cryocooler Lifetime Prediction
Aug 7, 2026Gregor Molan, Grafika Jati, Francesco Barchi +3Time Series Foundation Models Representation Learning
Evaluating Forecasting Techniques for Hardware Errors on a Large-scale HPC System
Aug 3, 2026Kaiyuan Liao, Xiwei Xuan, Tanwi Mallick +3Early Failure Prediction High-Performance Computing
Interpretable Machine Learning for Traffic Congestion Prediction: Unveiling the Impact of Different COVID-19 Periods
Aug 2, 2026Dan Zhu, Chi Sin Ng, Litian Xie +1Accurate Traffic Forecasting Coronavirus Disease
Deep Learning CNN and Recurrence Analysis for Alpha Gamma EEG Biomarkers in Fragile X Syndrome
Aug 1, 2026Zag ElSayed, Payton Siekierski, Jack Yanchen Liu +1Electroencephalogram Convolutional Neural Networks
Revisiting Predictive Process Monitoring in the Age of Foundation Models: A Comparative Study of Sequence, Tabular, and LLM Approaches
Jul 30, 2026Lennart Fertig, Lukas Kirchdorfer, Tobias SesterhennPredictive Performance Sequence Modeling
Seen, Said, or Forgotten? A Causal Audit of Visual KV Memory Across Dialog Turns
Jul 28, 2026Hong Chen, Kang Chen, Yuxuan Fan +4Knowledge-Based Visual Question Answering Long Short-Term Memory
Sensitivity Analysis of GRU, LSTM and Transformer Encoder in Classification of Automated Driving Systems
Jul 25, 2026Bidhya Shrestha, Christos PapadopoulosAutonomous Driving Automatic Identification System
Beyond Episodic Evaluation: Memory Architectural Bottlenecks in Sequential Embodied Question Answering
Jul 23, 2026Zikui Cai, Kaushal Janga, Tan Dat Dao +15Embodied Long Short-Term Memory
WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory
Jul 21, 2026Haisheng Su, Zongdai Liu, Xin Jin +13Action-Conditioned World Modeling World Models
Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach
Jul 17, 2026Shuai Wang, Shen Wang, Qiang Wang +4Simulation-Based Reinforcement Learning Autonomous Driving Simulation
Dzongkha Next Word Prediction System
Jul 13, 2026Prerna Chhetri, Tenzin Yoezer, Phuntsho Wangmo +1N$-Grams Features Indian Languages
Memory-Conditioned Tool Calling for Camera-First Visual Agents
Jul 10, 2026Xiaofan Wu, Xi Zeng, Miaoxia Chen +5Agent Memory Long Short-Term Memory
Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls
Jul 10, 2026Saroj Gopali, Bipin Chhetri, Deepika Giri +2Agentic Loop Internet Of Thing
Evaluating the Effect of Frame Rate in Sequence-Based Classification of Autism-Related Self-Stimulatory Hand Idiosyncrasies
Jul 8, 2026Raunak Mondal, Peter WashingtonAutism Spectrum Disorder Data Augmentation
Unveiling Public Opinion: A Study of Sentiment Analysis Using LSTM and Traditional Models
Jul 8, 2026Atiq Ur RehmanSentiment Analysis Social Media
psytechlab at CLPsych 2026: Utilising Natural Language Processing methods and Large Language Models for Social Media Text Analysis
Jul 3, 2026Igor Buyanov, Nafisa Valieva, Ekaterina MazurinaMental Health Psychology
Seek to Segment: Active Perception for Panoramic Referring Segmentation
Jul 2, 2026Song Tang, Shuming Hu, Xincheng Shuai +2Active Perception Multiple Vision Tasks
Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting
Jun 26, 2026Kuo-Chung Peng, Jiun-Cheng Jiang, Chun-Hua Lin +3Accurate Traffic Forecasting Kolmogorov-Arnold Networks
DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection
Jun 25, 2026Yujin Tang, Chenming Shang, Ruize Xu +1Multimodal Memory Multimodal Agents
InteractiveAvatar: Real-Time Streaming Video Generation for Consistent and Intent-Aware Avatars
Jun 22, 2026Quanyue Song, Yishan He, Yanfei Zhang +6Avatars Streaming
LSTM Variants for Chaotic Dynamical Systems: An Empirical Study on the Lorenz Attractor
Jun 21, 2026Ruslan GokhmanCnn-Lstm Chaotic Dynamical Systems
GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling
Jun 18, 2026Yixuan Lai, Tianjia Shao, Kun Zhou +3Explicit Visual Grounding Geometric Consistency
EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies
Jun 18, 2026Ganlin Yang, Zhangzheng Tu, Yuqiang Yang +10Diffusion-Based Vision-Language-Actions Vision-Language-Action Policies
ITNet: A Learnable Integral Transform That Subsumes Convolution, Attention, and Recurrence
Jun 17, 2026Ashim Dhor, Rasel Mondal, Pin-Yu ChenConvolutional Neural Networks Convolutional
WorldLines: Benchmarking and Modeling Long-Horizon Stateful Embodied Agents
Jun 17, 2026Yehang Zhang, Jianchong Su, Haojian Huang +7Long-Horizon Agents Long-Horizon
Delta-Based Target Reformulation for Short-Term Electricity Load Forecasting Using LSTM and Transformer Models
Jun 16, 2026Vansh BansalEnergy Forecasting Non-Stationarity
Attention Alignment Between Humans and Vision-Language Models
Jun 16, 2026Isaac R. Christian, Udith Haputhanthrige, Hanna Hornfeld +4Vision-Language Alignment Model Attention
Semantic Flip: Synthetic OOD Generation for Robust Refusal in Embodied Question Answering and Spatial Localization
Jun 15, 2026Dongbin Na, Chanwoo Kim, Giyun Choi +1Refusals Flips
Closed-Loop Triplet Synergistic Generation for Long-Form Video
Jun 15, 2026Xinlei Yin, Xiulian Peng, Xiao Li +2Cinematic Video Generation Closed Loop
David vs. Goliath in Next Activity Prediction: Argmax vs. LSTM, Transformer, and LLM
Jun 14, 2026Hans Weytjens, Ingo WeberLong Short-Term Memory
Naive Visual Memory is Not Enough: A Failure-Mode Study of GUI Agents
Jun 12, 2026Seoyoung Choi, Minseok Ko, Hyunseok Lee +4Graphical User Interface Agents Graphical User Interface
S-GBT: Smooth Growth Bound Tensor for Certified Robustness Against Word Substitution Attacks in NLP
Jun 11, 2026Mohammed Bouri, Mohammed Erradi, Adnane SaoudSubword Tokenization Natural Language Processing
Multi-Rate Mixture of Experts for Accelerating Liquid Neural Network Training
Jun 10, 2026Shilong Zong, Almuatazbellah Boker, Hoda EldardiryRecurrent Neural Networks Temporal Attention
Towards Critical Branching Mechanism in Recurrent Neural Networks
Jun 9, 2026Feixiang Ren, Ling FengRecurrent Neural Networks Low-Data Regimes
Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models
Jun 7, 2026Hongwei Wang, Miao Zhou, Fengde Wang +10Vessel Trajectory Prediction Long-Horizon Forecasting
IntentNav: Learning Spatial-Visual Object Navigation from Human Demonstrations
Jun 6, 2026Yuxin Cai, Zongtai Li, Maonan Wang +9Navigation Robot Imitation Learning
Personal AI Agent for Camera Roll VQA
Jun 3, 2026Thao Nguyen, Krishna Kumar Singh, Donghyun Kim +2Conversational Memory Artificial Intelligence Assistants
Anomaly Detection for Electro-Hydrostatic Actuators using LSTM Autoencoder
Jun 3, 2026Nehal Afifi, Abdelmonem Elhendawi, Felix Leitenberger +2Anomaly Detection Autoencoder
Few-Shot Prediction for Pulsar Noise with Long Short-Term Memory Network
Jun 2, 2026Qingye Tang, Dechao An, Haoran Peng +1Long Short-Term Memory Subgroup Information
A Systematic Evaluation of Current Architectures in Wind Power Forecasting
Jun 1, 2026Vinicius Bortolini, Gilson Adamczuk Oliveira, Erick Oliveira Rodrigues +1Wind Power Forecasting Urban Wind
Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins
Jun 1, 2026Taye Akinrele, James Halgren, Noorbakhsh Amiri Golilarz +2Fundamental Hydrological Principles Transformer Encoder
Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling
Jun 1, 2026Vladimir BeskorovainyiProducts Human Annotators
Beyond Visual Memory: Mechanistic Diagnostics of Latent Visual Reasoning
May 31, 2026Garvin Guo, Yu Chen, Xiang Wang +4Latent Visual Reasoning Neural Tokens
Efficient Temporal Modeling for Mobile Sleep Staging via Lightweight Random Attention
May 31, 2026Guisong Liu, Pengfei Wei, Jainsong Zhang +1Sleep Stage Classification Temporal Attention
SigmaMedStat: Temporal Signal Modeling for ICU False Alarm Reduction
May 28, 2026Arunkumar RamachandranIntensive Care Unit Early Warning

Sep 12, 2026 · eess.SPJ/K move · Enter open · S save

X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation

Abdul Karim Gizzini, Yahia Medjahdi

Deep learning models, notably Long Short-Term Memory (LSTM), have demonstrated promising performance in channel estimation for high-mobility vehicular environments. However, their black-box nature and architectural overhead limit trustworthiness and efficiency. Classical explainable AI (XAI) methods rely on costly iterative processes, offering only input-level filtering without addressing architectural fine-tuning. To overcome these limitations, this paper proposes the XAI-assisted Recurrent neural network Attribution for Channel Estimation (X-RACE) framework. X-RACE uses a low-complexity, one-shot dual-optimization strategy to simultaneously evaluate and prune irrelevant input subcarriers and internal hidden units. Furthermore, we propose novel temporal XAI metrics: Saturation Time, Importance Drift, and Relevance Contrast to characterize the LSTM's learning dynamics and memory convergence. Extensive simulations demonstrate that X-RACE reduces inference complexity by at least 44.1% while improving or preserving Bit Error Rate (BER) performance, outperforming classical XAI schemes.

Channel Estimation Cnn-Lstm Xai Long Short-Term Memory

Open paper Ask about it PDF