Saved in:
| Main Authors: | Yingjie, Zhao, Abolghasemi, Mahdi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.06394 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI
by: Abolghasemi, MAhdi, et al.
Published: (2023)
by: Abolghasemi, MAhdi, et al.
Published: (2023)
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
by: English, Lucas, et al.
Published: (2023)
by: English, Lucas, et al.
Published: (2023)
Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment
by: Colwell, Matthew, et al.
Published: (2024)
by: Colwell, Matthew, et al.
Published: (2024)
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
by: Ou, Wenjie, et al.
Published: (2025)
by: Ou, Wenjie, et al.
Published: (2025)
Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
by: Phoemsuk, Atitaya, et al.
Published: (2024)
by: Phoemsuk, Atitaya, et al.
Published: (2024)
Local vs Global continual learning
by: Lanzillotta, Giulia, et al.
Published: (2024)
by: Lanzillotta, Giulia, et al.
Published: (2024)
Dual-Level Models for Physics-Informed Multi-Step Time Series Forecasting
by: Nasiri, Mahdi, et al.
Published: (2026)
by: Nasiri, Mahdi, et al.
Published: (2026)
HiGen: Hierarchical Graph Generative Networks
by: Karami, Mahdi
Published: (2023)
by: Karami, Mahdi
Published: (2023)
Hierarchical Forecasting at Scale
by: Sprangers, Olivier, et al.
Published: (2023)
by: Sprangers, Olivier, et al.
Published: (2023)
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python
by: Olivares, Kin G., et al.
Published: (2022)
by: Olivares, Kin G., et al.
Published: (2022)
GLU: Global-Local-Uncertainty Fusion for Scalable Spatiotemporal Reconstruction and Forecasting
by: Wang, Linzheng, et al.
Published: (2026)
by: Wang, Linzheng, et al.
Published: (2026)
A Global Data-Driven Model for The Hippocampus and Nucleus Accumbens of Rat From The Local Field Potential Recordings (LFP)
by: Sadeghi, Maedeh, et al.
Published: (2024)
by: Sadeghi, Maedeh, et al.
Published: (2024)
Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL
by: Qiu, Rihong, et al.
Published: (2025)
by: Qiu, Rihong, et al.
Published: (2025)
Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE
by: Xu, Fan, et al.
Published: (2026)
by: Xu, Fan, et al.
Published: (2026)
LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation
by: Noravesh, Farshad, et al.
Published: (2025)
by: Noravesh, Farshad, et al.
Published: (2025)
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting
by: Liu, Peiyuan, et al.
Published: (2023)
by: Liu, Peiyuan, et al.
Published: (2023)
Local vs. Global Interpretability: A Computational Complexity Perspective
by: Bassan, Shahaf, et al.
Published: (2024)
by: Bassan, Shahaf, et al.
Published: (2024)
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
by: Yang, Yanfeng, et al.
Published: (2025)
by: Yang, Yanfeng, et al.
Published: (2025)
SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies
by: Li, Hao, et al.
Published: (2026)
by: Li, Hao, et al.
Published: (2026)
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
by: Wang, Chengsen, et al.
Published: (2024)
by: Wang, Chengsen, et al.
Published: (2024)
S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting
by: Wang, Wenshuo, et al.
Published: (2025)
by: Wang, Wenshuo, et al.
Published: (2025)
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)
by: Feng, Shibo, et al.
Published: (2025)
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting
by: Zhao, Shubao, et al.
Published: (2024)
by: Zhao, Shubao, et al.
Published: (2024)
Hierarchical Time Series Forecasting with Robust Reconciliation
by: Aikawa, Shuhei, et al.
Published: (2025)
by: Aikawa, Shuhei, et al.
Published: (2025)
Hierarchical Neural Additive Models for Interpretable Demand Forecasts
by: Feddersen, Leif, et al.
Published: (2024)
by: Feddersen, Leif, et al.
Published: (2024)
Daily Forecasting for Annual Time Series Datasets Using Similarity-Based Machine Learning Methods: A Case Study in the Energy Market
by: Goldani, Mahdi
Published: (2025)
by: Goldani, Mahdi
Published: (2025)
Global River Forecasting with a Topology-Informed AI Foundation Model
by: Ren, Hancheng, et al.
Published: (2026)
by: Ren, Hancheng, et al.
Published: (2026)
Reduced Order Modeling for Tsunami Forecasting with Bayesian Hierarchical Pooling
by: Coffing, Shane X., et al.
Published: (2025)
by: Coffing, Shane X., et al.
Published: (2025)
Taxonomy-Conditioned Hierarchical Bayesian TSB Models for Heterogeneous Intermittent Demand Forecasting
by: Bai, Zong-Han, et al.
Published: (2025)
by: Bai, Zong-Han, et al.
Published: (2025)
Interval Forecasts for Gas Prices in the Face of Structural Breaks -- Statistical Models vs. Neural Networks
by: Schlüter, Stephan, et al.
Published: (2024)
by: Schlüter, Stephan, et al.
Published: (2024)
ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
by: Liu, Chang, et al.
Published: (2025)
by: Liu, Chang, et al.
Published: (2025)
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
by: Liu, Zhiding, et al.
Published: (2024)
by: Liu, Zhiding, et al.
Published: (2024)
Hierarchical Classification Auxiliary Network for Time Series Forecasting
by: Sun, Yanru, et al.
Published: (2024)
by: Sun, Yanru, et al.
Published: (2024)
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
by: Oskarsson, Joel, et al.
Published: (2024)
by: Oskarsson, Joel, et al.
Published: (2024)
HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting
by: Choi, Jung Min, et al.
Published: (2026)
by: Choi, Jung Min, et al.
Published: (2026)
Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations
by: Kamarthi, Harshavardhan, et al.
Published: (2026)
by: Kamarthi, Harshavardhan, et al.
Published: (2026)
Training Dynamics of Softmax Self-Attention: Fast Global Convergence via Preconditioning
by: Goel, Gautam, et al.
Published: (2026)
by: Goel, Gautam, et al.
Published: (2026)
Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting
by: Chong, Liu, et al.
Published: (2026)
by: Chong, Liu, et al.
Published: (2026)
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)
by: Peng, Songtao, et al.
Published: (2025)
Global and Local Topology-Aware Attention with Persistent Homology and Euler Biases for Time-Series Forecasting
by: Faghihi, Usef, et al.
Published: (2026)
by: Faghihi, Usef, et al.
Published: (2026)
Similar Items
-
Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI
by: Abolghasemi, MAhdi, et al.
Published: (2023) -
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
by: English, Lucas, et al.
Published: (2023) -
Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment
by: Colwell, Matthew, et al.
Published: (2024) -
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
by: Ou, Wenjie, et al.
Published: (2025) -
Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
by: Phoemsuk, Atitaya, et al.
Published: (2024)