Distilling Time Series Foundation Models for Efficient Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Yuqi, Ding, Kuiye, Yang, Chuanguang, Chen, Szu-Yu, Tian, Yingli |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting
by: Li, Yuqi, et al.
Published: (2025)
by: Li, Yuqi, et al.
Published: (2025)
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
by: Li, Yuqi, et al.
Published: (2025)
by: Li, Yuqi, et al.
Published: (2025)
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
by: Ding, Kuiye, et al.
Published: (2025)
by: Ding, Kuiye, et al.
Published: (2025)
KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
by: Ding, Kuiye, et al.
Published: (2025)
by: Ding, Kuiye, et al.
Published: (2025)
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
by: Fu, Xinghong, et al.
Published: (2026)
by: Fu, Xinghong, et al.
Published: (2026)
PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
by: Sun, Tian, et al.
Published: (2025)
by: Sun, Tian, et al.
Published: (2025)
A Mamba Foundation Model for Time Series Forecasting
by: Ma, Haoyu, et al.
Published: (2024)
by: Ma, Haoyu, et al.
Published: (2024)
Time Series Foundation Models for Process Model Forecasting
by: Yu, Yongbo, et al.
Published: (2025)
by: Yu, Yongbo, et al.
Published: (2025)
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
by: Yu, Chengqing, et al.
Published: (2025)
by: Yu, Chengqing, et al.
Published: (2025)
TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models
by: Li, Hongkai, et al.
Published: (2026)
by: Li, Hongkai, et al.
Published: (2026)
Online Policy Distillation with Decision-Attention
by: Yu, Xinqiang, et al.
Published: (2024)
by: Yu, Xinqiang, et al.
Published: (2024)
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting
by: Ding, Ruixin, et al.
Published: (2024)
by: Ding, Ruixin, et al.
Published: (2024)
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
by: Shi, Xiaoming, et al.
Published: (2024)
by: Shi, Xiaoming, et al.
Published: (2024)
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
by: Ding, Hang, et al.
Published: (2025)
by: Ding, Hang, et al.
Published: (2025)
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning
by: Gao, Haozhi, et al.
Published: (2024)
by: Gao, Haozhi, et al.
Published: (2024)
Diffusion Models for Time Series Forecasting: A Survey
by: Su, Chen, et al.
Published: (2025)
by: Su, Chen, et al.
Published: (2025)
Revisiting Multivariate Time Series Forecasting with Missing Values
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
by: Rasul, Kashif, et al.
Published: (2023)
by: Rasul, Kashif, et al.
Published: (2023)
Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
by: Cao, Fanpu, et al.
Published: (2024)
by: Cao, Fanpu, et al.
Published: (2024)
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
by: Fechete, Luca-Andrei, et al.
Published: (2025)
by: Fechete, Luca-Andrei, et al.
Published: (2025)
Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
by: Zhao, Yuang, et al.
Published: (2024)
by: Zhao, Yuang, et al.
Published: (2024)
Assessing the Operational Viability of Foundation Models for Time Series Forecasting
by: Soni, Kavin, et al.
Published: (2026)
by: Soni, Kavin, et al.
Published: (2026)
Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
by: Feng, Wanjin, et al.
Published: (2025)
by: Feng, Wanjin, et al.
Published: (2025)
DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
by: Li, Jinpeng, et al.
Published: (2026)
by: Li, Jinpeng, et al.
Published: (2026)
FinCast: A Foundation Model for Financial Time-Series Forecasting
by: Zhu, Zhuohang, et al.
Published: (2025)
by: Zhu, Zhuohang, et al.
Published: (2025)
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
by: Masserano, Luca, et al.
Published: (2024)
by: Masserano, Luca, et al.
Published: (2024)
CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
by: Cheng, Hanyin, et al.
Published: (2026)
by: Cheng, Hanyin, et al.
Published: (2026)
T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation
by: Guo, Suhan, et al.
Published: (2026)
by: Guo, Suhan, et al.
Published: (2026)
ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence
by: Yang, Luoxiao, et al.
Published: (2024)
by: Yang, Luoxiao, et al.
Published: (2024)
The Rise of Diffusion Models in Time-Series Forecasting
by: Meijer, Caspar, et al.
Published: (2024)
by: Meijer, Caspar, et al.
Published: (2024)
Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models
by: Jetwiriyanon, Jittarin, et al.
Published: (2025)
by: Jetwiriyanon, Jittarin, et al.
Published: (2025)
WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting
by: Wu, Shunyu, et al.
Published: (2026)
by: Wu, Shunyu, et al.
Published: (2026)
Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model
by: Wang, Xue, et al.
Published: (2025)
by: Wang, Xue, et al.
Published: (2025)
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
Semantically-Guided Inference for Conditional Diffusion Models: Enhancing Covariate Consistency in Time Series Forecasting
by: Ding, Rui, et al.
Published: (2025)
by: Ding, Rui, et al.
Published: (2025)
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
by: Chen, Yuqi, et al.
Published: (2024)
by: Chen, Yuqi, et al.
Published: (2024)
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention
by: Zhou, Xinxing, et al.
Published: (2024)
by: Zhou, Xinxing, et al.
Published: (2024)
Test Time Learning for Time Series Forecasting
by: Christou, Panayiotis, et al.
Published: (2024)
by: Christou, Panayiotis, et al.
Published: (2024)
Benchmarking Time Series Forecasting Models: From Statistical Techniques to Foundation Models in Real-World Applications
by: Arab, Issar, et al.
Published: (2025)
by: Arab, Issar, et al.
Published: (2025)
Deconfounded Time Series Forecasting: A Causal Inference Approach
by: Gao, Wentao, et al.
Published: (2024)
by: Gao, Wentao, et al.
Published: (2024)
Similar Items
-
DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting
by: Li, Yuqi, et al.
Published: (2025) -
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
by: Li, Yuqi, et al.
Published: (2025) -
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
by: Ding, Kuiye, et al.
Published: (2025) -
KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
by: Ding, Kuiye, et al.
Published: (2025) -
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
by: Fu, Xinghong, et al.
Published: (2026)