IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zhou, Yifan, Wang, Yibo, Shang, Chao |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
par: Piao, Chengzhe, et autres
Publié: (2024)
par: Piao, Chengzhe, et autres
Publié: (2024)
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation
par: Qian, Linglong, et autres
Publié: (2024)
par: Qian, Linglong, et autres
Publié: (2024)
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks
par: Shen, Rujia, et autres
Publié: (2024)
par: Shen, Rujia, et autres
Publié: (2024)
Semiconductor Industry Trend Prediction with Event Intervention Based on LSTM Model in Sentiment-Enhanced Time Series Data
par: Yen, Wei-hsiang, et autres
Publié: (2025)
par: Yen, Wei-hsiang, et autres
Publié: (2025)
GPU Memory Requirement Prediction for Deep Learning Task Based on Bidirectional Gated Recurrent Unit Optimization Transformer
par: Wang, Chao, et autres
Publié: (2025)
par: Wang, Chao, et autres
Publié: (2025)
Towards Neural Scaling Laws for Time Series Foundation Models
par: Yao, Qingren, et autres
Publié: (2024)
par: Yao, Qingren, et autres
Publié: (2024)
Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification
par: Qu, Jintao, et autres
Publié: (2025)
par: Qu, Jintao, et autres
Publié: (2025)
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation
par: Collado-Villaverde, Armando, et autres
Publié: (2025)
par: Collado-Villaverde, Armando, et autres
Publié: (2025)
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
par: Wang, Wenxuan, et autres
Publié: (2025)
par: Wang, Wenxuan, et autres
Publié: (2025)
Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks
par: Sajadi, Pouyan, et autres
Publié: (2024)
par: Sajadi, Pouyan, et autres
Publié: (2024)
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
par: Xu, Kunpeng, et autres
Publié: (2024)
par: Xu, Kunpeng, et autres
Publié: (2024)
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
par: Sriramulu, Abishek, et autres
Publié: (2024)
par: Sriramulu, Abishek, et autres
Publié: (2024)
Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery
par: Zheng, Yuhan, et autres
Publié: (2024)
par: Zheng, Yuhan, et autres
Publié: (2024)
Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
par: Li, Haoran, et autres
Publié: (2025)
par: Li, Haoran, et autres
Publié: (2025)
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
par: Jin, Ming, et autres
Publié: (2023)
par: Jin, Ming, et autres
Publié: (2023)
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
par: Wang, Wenxuan, et autres
Publié: (2025)
par: Wang, Wenxuan, et autres
Publié: (2025)
Liquid Neural Network Models for Natural Gas Spot Price Time-Series Forecasting
par: Liu, Yiqian, et autres
Publié: (2026)
par: Liu, Yiqian, et autres
Publié: (2026)
EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models
par: Zhou, Xinxing, et autres
Publié: (2026)
par: Zhou, Xinxing, et autres
Publié: (2026)
Renaissance of RNNs in Streaming Clinical Time Series: Compact Recurrence Remains Competitive with Transformers
par: Tong, Ran, et autres
Publié: (2025)
par: Tong, Ran, et autres
Publié: (2025)
Generative System Dynamics in Recurrent Neural Networks
par: Casoni, Michele, et autres
Publié: (2025)
par: Casoni, Michele, et autres
Publié: (2025)
PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes
par: Zhou, Yiming, et autres
Publié: (2026)
par: Zhou, Yiming, et autres
Publié: (2026)
Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification
par: Farsang, Mónika, et autres
Publié: (2026)
par: Farsang, Mónika, et autres
Publié: (2026)
Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks
par: Shahbandari, Lida, et autres
Publié: (2024)
par: Shahbandari, Lida, et autres
Publié: (2024)
Axiomatization of Gradient Smoothing in Neural Networks
par: Zhou, Linjiang, et autres
Publié: (2024)
par: Zhou, Linjiang, et autres
Publié: (2024)
Long Input Sequence Network for Long Time Series Forecasting
par: Ma, Chao, et autres
Publié: (2024)
par: Ma, Chao, et autres
Publié: (2024)
Generalizability of Memorization Neural Networks
par: Yu, Lijia, et autres
Publié: (2024)
par: Yu, Lijia, et autres
Publié: (2024)
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
par: Wang, Bicheng, et autres
Publié: (2025)
par: Wang, Bicheng, et autres
Publié: (2025)
Time Series Imputation with Multivariate Radial Basis Function Neural Network
par: Jung, Chanyoung, et autres
Publié: (2024)
par: Jung, Chanyoung, et autres
Publié: (2024)
Predicting Time Series of Networked Dynamical Systems without Knowing Topology
par: Ding, Yanna, et autres
Publié: (2024)
par: Ding, Yanna, et autres
Publié: (2024)
Large Language Models are Few-shot Multivariate Time Series Classifiers
par: Chen, Yakun, et autres
Publié: (2025)
par: Chen, Yakun, et autres
Publié: (2025)
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability
par: Yu, Lijia, et autres
Publié: (2025)
par: Yu, Lijia, et autres
Publié: (2025)
Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
par: Wu, Shunyu, et autres
Publié: (2025)
par: Wu, Shunyu, et autres
Publié: (2025)
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers
par: Ni, Haowei, et autres
Publié: (2024)
par: Ni, Haowei, et autres
Publié: (2024)
CAPS: Unifying Attention, Recurrence, and Alignment in Transformer-based Time Series Forecasting
par: Pati, Viresh, et autres
Publié: (2026)
par: Pati, Viresh, et autres
Publié: (2026)
BARNN: A Bayesian Autoregressive and Recurrent Neural Network
par: Coscia, Dario, et autres
Publié: (2025)
par: Coscia, Dario, et autres
Publié: (2025)
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
par: Zhao, Sinong, et autres
Publié: (2024)
par: Zhao, Sinong, et autres
Publié: (2024)
Nested Spatio-Temporal Time Series Forecasting
par: Ai, Yinghao, et autres
Publié: (2026)
par: Ai, Yinghao, et autres
Publié: (2026)
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
par: Li, Mengxuan, et autres
Publié: (2025)
par: Li, Mengxuan, et autres
Publié: (2025)
TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records
par: Olaimat, Mohammad Al, et autres
Publié: (2024)
par: Olaimat, Mohammad Al, et autres
Publié: (2024)
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
par: Wang, Shiyu, et autres
Publié: (2024)
par: Wang, Shiyu, et autres
Publié: (2024)
Documents similaires
-
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
par: Piao, Chengzhe, et autres
Publié: (2024) -
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation
par: Qian, Linglong, et autres
Publié: (2024) -
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks
par: Shen, Rujia, et autres
Publié: (2024) -
Semiconductor Industry Trend Prediction with Event Intervention Based on LSTM Model in Sentiment-Enhanced Time Series Data
par: Yen, Wei-hsiang, et autres
Publié: (2025) -
GPU Memory Requirement Prediction for Deep Learning Task Based on Bidirectional Gated Recurrent Unit Optimization Transformer
par: Wang, Chao, et autres
Publié: (2025)