Foundation Model Forecasts: Form and Function
Fuente:
arXiv
Guardado en:
| Autores principales: | Perez-Diaz, Alvaro, Loach, James C., Toutoungi, Danielle E., Middleton, Lee |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
por: Masserano, Luca, et al.
Publicado: (2024)
por: Masserano, Luca, et al.
Publicado: (2024)
Time Series Foundation Models for Process Model Forecasting
por: Yu, Yongbo, et al.
Publicado: (2025)
por: Yu, Yongbo, et al.
Publicado: (2025)
Transferable and Forecastable User Targeting Foundation Model
por: Dou, Bin, et al.
Publicado: (2024)
por: Dou, Bin, et al.
Publicado: (2024)
Distilling Time Series Foundation Models for Efficient Forecasting
por: Li, Yuqi, et al.
Publicado: (2026)
por: Li, Yuqi, et al.
Publicado: (2026)
Towards Foundation Models for the Industrial Forecasting of Chemical Kinetics
por: Nasim, Imran, et al.
Publicado: (2024)
por: Nasim, Imran, et al.
Publicado: (2024)
A Mamba Foundation Model for Time Series Forecasting
por: Ma, Haoyu, et al.
Publicado: (2024)
por: Ma, Haoyu, et al.
Publicado: (2024)
Foundation Models for Demand Forecasting via Dual-Strategy Ensembling
por: Yang, Wei, et al.
Publicado: (2025)
por: Yang, Wei, et al.
Publicado: (2025)
UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting
por: Ni, Hang, et al.
Publicado: (2025)
por: Ni, Hang, et al.
Publicado: (2025)
TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models
por: Li, Hongkai, et al.
Publicado: (2026)
por: Li, Hongkai, et al.
Publicado: (2026)
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
por: Fu, Xinghong, et al.
Publicado: (2026)
por: Fu, Xinghong, et al.
Publicado: (2026)
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
por: Rasul, Kashif, et al.
Publicado: (2023)
por: Rasul, Kashif, et al.
Publicado: (2023)
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting
por: Zhou, Xinxing, et al.
Publicado: (2024)
por: Zhou, Xinxing, et al.
Publicado: (2024)
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
por: Ning, Kanghui, et al.
Publicado: (2025)
por: Ning, Kanghui, et al.
Publicado: (2025)
Assessing the Operational Viability of Foundation Models for Time Series Forecasting
por: Soni, Kavin, et al.
Publicado: (2026)
por: Soni, Kavin, et al.
Publicado: (2026)
Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models
por: Jetwiriyanon, Jittarin, et al.
Publicado: (2025)
por: Jetwiriyanon, Jittarin, et al.
Publicado: (2025)
Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
por: Ma, Ziqing, et al.
Publicado: (2026)
por: Ma, Ziqing, et al.
Publicado: (2026)
Benchmarking Time Series Forecasting Models: From Statistical Techniques to Foundation Models in Real-World Applications
por: Arab, Issar, et al.
Publicado: (2025)
por: Arab, Issar, et al.
Publicado: (2025)
Regression Models Meet Foundation Models: A Hybrid-AI Approach to Practical Electricity Price Forecasting
por: Qiu, Yunzhong, et al.
Publicado: (2026)
por: Qiu, Yunzhong, et al.
Publicado: (2026)
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
por: Gupta, Divij, et al.
Publicado: (2024)
por: Gupta, Divij, et al.
Publicado: (2024)
Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning
por: Liang, Rui, et al.
Publicado: (2024)
por: Liang, Rui, et al.
Publicado: (2024)
Inverting Foundation Models of Brain Function with Simulation-Based Inference
por: Bracher, Niels, et al.
Publicado: (2026)
por: Bracher, Niels, et al.
Publicado: (2026)
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
por: Fechete, Luca-Andrei, et al.
Publicado: (2025)
por: Fechete, Luca-Andrei, et al.
Publicado: (2025)
Learning Equivariant Functions via Quadratic Forms
por: Karjol, Pavan, et al.
Publicado: (2025)
por: Karjol, Pavan, et al.
Publicado: (2025)
NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting
por: Xu, Huibo, et al.
Publicado: (2025)
por: Xu, Huibo, et al.
Publicado: (2025)
WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting
por: Wu, Shunyu, et al.
Publicado: (2026)
por: Wu, Shunyu, et al.
Publicado: (2026)
DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
por: Li, Jinpeng, et al.
Publicado: (2026)
por: Li, Jinpeng, et al.
Publicado: (2026)
CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
por: Cheng, Hanyin, et al.
Publicado: (2026)
por: Cheng, Hanyin, et al.
Publicado: (2026)
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems
por: Khandelwal, Vedant, et al.
Publicado: (2024)
por: Khandelwal, Vedant, et al.
Publicado: (2024)
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
por: Widener, Michael, et al.
Publicado: (2025)
por: Widener, Michael, et al.
Publicado: (2025)
ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
por: Liu, Chang, et al.
Publicado: (2025)
por: Liu, Chang, et al.
Publicado: (2025)
Forecast2Anomaly (F2A): Adapting Multivariate Time Series Foundation Models for Anomaly Prediction
por: Hassan, Atif, et al.
Publicado: (2025)
por: Hassan, Atif, et al.
Publicado: (2025)
FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
por: Lee, Jaehoon, et al.
Publicado: (2026)
por: Lee, Jaehoon, et al.
Publicado: (2026)
A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
por: Olivares, Kin G., et al.
Publicado: (2025)
por: Olivares, Kin G., et al.
Publicado: (2025)
DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations
por: Han, Danny Dongyeop, et al.
Publicado: (2025)
por: Han, Danny Dongyeop, et al.
Publicado: (2025)
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
por: Shao, Chen, et al.
Publicado: (2025)
por: Shao, Chen, et al.
Publicado: (2025)
FinCast: A Foundation Model for Financial Time-Series Forecasting
por: Zhu, Zhuohang, et al.
Publicado: (2025)
por: Zhu, Zhuohang, et al.
Publicado: (2025)
QKCV Attention: Enhancing Time Series Forecasting with Static Categorical Embeddings for Both Lightweight and Pre-trained Foundation Models
por: Wang, Hao, et al.
Publicado: (2025)
por: Wang, Hao, et al.
Publicado: (2025)
Time Series Foundation Models for Energy Load Forecasting on Consumer Hardware: A Multi-Dimensional Zero-Shot Benchmark
por: Simeone, Luigi
Publicado: (2026)
por: Simeone, Luigi
Publicado: (2026)
Axial Neural Networks for Dimension-Free Foundation Models
por: Kim, Hyunsu, et al.
Publicado: (2025)
por: Kim, Hyunsu, et al.
Publicado: (2025)
Leveraging Intermediate Representations of Time Series Foundation Models for Anomaly Detection
por: Han, Chan Sik, et al.
Publicado: (2025)
por: Han, Chan Sik, et al.
Publicado: (2025)
Ejemplares similares
-
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
por: Masserano, Luca, et al.
Publicado: (2024) -
Time Series Foundation Models for Process Model Forecasting
por: Yu, Yongbo, et al.
Publicado: (2025) -
Transferable and Forecastable User Targeting Foundation Model
por: Dou, Bin, et al.
Publicado: (2024) -
Distilling Time Series Foundation Models for Efficient Forecasting
por: Li, Yuqi, et al.
Publicado: (2026) -
Towards Foundation Models for the Industrial Forecasting of Chemical Kinetics
por: Nasim, Imran, et al.
Publicado: (2024)