Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
Fuente:
arXiv
Guardado en:
| Autores principales: | Ali, Khalid, Bettouche, Zineddine, Kassler, Andreas, Fischer, Andreas |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
HiSTM: Hierarchical Spatiotemporal Mamba for Cellular Traffic Forecasting
por: Bettouche, Zineddine, et al.
Publicado: (2025)
por: Bettouche, Zineddine, et al.
Publicado: (2025)
Spatial PDE-aware Selective State-space with Nested Memory for Mobile Traffic Grid Forecasting
por: Bettouche, Zineddine, et al.
Publicado: (2026)
por: Bettouche, Zineddine, et al.
Publicado: (2026)
xLSTM: Extended Long Short-Term Memory
por: Beck, Maximilian, et al.
Publicado: (2024)
por: Beck, Maximilian, et al.
Publicado: (2024)
xLSTMTime : Long-term Time Series Forecasting With xLSTM
por: Alharthi, Musleh, et al.
Publicado: (2024)
por: Alharthi, Musleh, et al.
Publicado: (2024)
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
por: Kang, Lei, et al.
Publicado: (2025)
por: Kang, Lei, et al.
Publicado: (2025)
Vision-LSTM: xLSTM as Generic Vision Backbone
por: Alkin, Benedikt, et al.
Publicado: (2024)
por: Alkin, Benedikt, et al.
Publicado: (2024)
xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection
por: Faber, Kamil, et al.
Publicado: (2025)
por: Faber, Kamil, et al.
Publicado: (2025)
Distil-xLSTM: Learning Attention Mechanisms through Recurrent Structures
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)
Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images
por: Zhu, Qinfeng, et al.
Publicado: (2024)
por: Zhu, Qinfeng, et al.
Publicado: (2024)
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
por: Schmidinger, Niklas, et al.
Publicado: (2024)
por: Schmidinger, Niklas, et al.
Publicado: (2024)
Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
por: Beck, Maximilian, et al.
Publicado: (2025)
por: Beck, Maximilian, et al.
Publicado: (2025)
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
por: Beck, Maximilian, et al.
Publicado: (2025)
por: Beck, Maximilian, et al.
Publicado: (2025)
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
por: Schmied, Thomas, et al.
Publicado: (2024)
por: Schmied, Thomas, et al.
Publicado: (2024)
MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language Modeling
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)
Contextual Categorization Enhancement through LLMs Latent-Space
por: Bettouche, Zineddine, et al.
Publicado: (2024)
por: Bettouche, Zineddine, et al.
Publicado: (2024)
xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement
por: Kühne, Nikolai Lund, et al.
Publicado: (2025)
por: Kühne, Nikolai Lund, et al.
Publicado: (2025)
Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
por: Zhang, Tianya
Publicado: (2022)
por: Zhang, Tianya
Publicado: (2022)
Synthetic Data Augmentation for Table Detection: Re-evaluating TableNet's Performance with Automatically Generated Document Images
por: Sahukara, Krishna, et al.
Publicado: (2025)
por: Sahukara, Krishna, et al.
Publicado: (2025)
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
por: Kraus, Maurice, et al.
Publicado: (2024)
por: Kraus, Maurice, et al.
Publicado: (2024)
Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting
por: Wang, Zhongying, et al.
Publicado: (2025)
por: Wang, Zhongying, et al.
Publicado: (2025)
Benchmarking Transformer and xLSTM for Time-Series Forecasting of Heat Consumption
por: Wahl, Marja, et al.
Publicado: (2026)
por: Wahl, Marja, et al.
Publicado: (2026)
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
por: Theodoropoulos, Theodoros, et al.
Publicado: (2024)
por: Theodoropoulos, Theodoros, et al.
Publicado: (2024)
Effective Distillation to Hybrid xLSTM Architectures
por: Hauzenberger, Lukas, et al.
Publicado: (2026)
por: Hauzenberger, Lukas, et al.
Publicado: (2026)
Cross-household Transfer Learning Approach with LSTM-based Demand Forecasting
por: Rahal, Manal, et al.
Publicado: (2026)
por: Rahal, Manal, et al.
Publicado: (2026)
Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh
por: Joy, Usman Gani, et al.
Publicado: (2025)
por: Joy, Usman Gani, et al.
Publicado: (2025)
Data-driven Insights for Informed Decision-Making: Applying LSTM Networks for Robust Electricity Forecasting in Libya
por: Agaal, Asma, et al.
Publicado: (2025)
por: Agaal, Asma, et al.
Publicado: (2025)
MolGraph-xLSTM: A graph-based dual-level xLSTM framework with multi-head mixture-of-experts for enhanced molecular representation and interpretability
por: Sun, Yan, et al.
Publicado: (2025)
por: Sun, Yan, et al.
Publicado: (2025)
Incident-Guided Spatiotemporal Traffic Forecasting
por: Fan, Lixiang, et al.
Publicado: (2026)
por: Fan, Lixiang, et al.
Publicado: (2026)
Optimizing LSTM Neural Networks for Resource-Constrained Retail Sales Forecasting: A Model Compression Study
por: Pagidoju, Ravi Teja
Publicado: (2026)
por: Pagidoju, Ravi Teja
Publicado: (2026)
xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
por: Beck, Maximilian, et al.
Publicado: (2025)
por: Beck, Maximilian, et al.
Publicado: (2025)
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
por: Agarwal, Rohit, et al.
Publicado: (2024)
por: Agarwal, Rohit, et al.
Publicado: (2024)
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
por: Cao, Lingxiao, et al.
Publicado: (2025)
por: Cao, Lingxiao, et al.
Publicado: (2025)
Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
por: Wu, Guang, et al.
Publicado: (2024)
por: Wu, Guang, et al.
Publicado: (2024)
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting
por: Davies, Gareth
Publicado: (2024)
por: Davies, Gareth
Publicado: (2024)
Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies
por: Cismaru, Alexandru T.
Publicado: (2024)
por: Cismaru, Alexandru T.
Publicado: (2024)
Hybrid SARIMA LSTM Model for Local Weather Forecasting: A Residual Learning Approach for Data Driven Meteorological Prediction
por: Rajeev, Shreyas, et al.
Publicado: (2026)
por: Rajeev, Shreyas, et al.
Publicado: (2026)
Evaluating the Sensitivity of BiLSTM Forecasting Models to Sequence Length and Input Noise
por: Albelali, Salma, et al.
Publicado: (2025)
por: Albelali, Salma, et al.
Publicado: (2025)
APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting
por: Feng, Jun, et al.
Publicado: (2024)
por: Feng, Jun, et al.
Publicado: (2024)
xLSTM-PINN: Memory-Gated Spectral Remodeling for Physics-Informed Learning
por: Tao, Ze, et al.
Publicado: (2025)
por: Tao, Ze, et al.
Publicado: (2025)
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
por: Sarlakifar, Faezeh, et al.
Publicado: (2025)
por: Sarlakifar, Faezeh, et al.
Publicado: (2025)
Ejemplares similares
-
HiSTM: Hierarchical Spatiotemporal Mamba for Cellular Traffic Forecasting
por: Bettouche, Zineddine, et al.
Publicado: (2025) -
Spatial PDE-aware Selective State-space with Nested Memory for Mobile Traffic Grid Forecasting
por: Bettouche, Zineddine, et al.
Publicado: (2026) -
xLSTM: Extended Long Short-Term Memory
por: Beck, Maximilian, et al.
Publicado: (2024) -
xLSTMTime : Long-term Time Series Forecasting With xLSTM
por: Alharthi, Musleh, et al.
Publicado: (2024) -
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
por: Kang, Lei, et al.
Publicado: (2025)