Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Kayaalp, Mert, Turkmen, Caner, Shchur, Oleksandr, Mercado, Pedro, Ansari, Abdul Fatir, Bohlke-Schneider, Michael, Wang, Bernie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
fev-bench: A Realistic Benchmark for Time Series Forecasting
by: Shchur, Oleksandr, et al.
Published: (2025)
by: Shchur, Oleksandr, et al.
Published: (2025)
Multi-layer Stack Ensembles for Time Series Forecasting
by: Bosch, Nathanael, et al.
Published: (2025)
by: Bosch, Nathanael, et al.
Published: (2025)
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
by: Arango, Sebastian Pineda, et al.
Published: (2025)
by: Arango, Sebastian Pineda, et al.
Published: (2025)
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
by: Auer, Andreas, et al.
Published: (2025)
by: Auer, Andreas, et al.
Published: (2025)
Chronos: Learning the Language of Time Series
by: Ansari, Abdul Fatir, et al.
Published: (2024)
by: Ansari, Abdul Fatir, et al.
Published: (2024)
Understanding the Implicit Biases of Design Choices for Time Series Foundation Models
by: Yu, Annan, et al.
Published: (2025)
by: Yu, Annan, et al.
Published: (2025)
Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
by: Yu, Annan, et al.
Published: (2025)
by: Yu, Annan, et al.
Published: (2025)
When Does Multimodality Lead to Better Time Series Forecasting?
by: Zhang, Xiyuan, et al.
Published: (2025)
by: Zhang, Xiyuan, 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)
Generative Modeling with Flow-Guided Density Ratio Learning
by: Heng, Alvin, et al.
Published: (2023)
by: Heng, Alvin, et al.
Published: (2023)
Chronos-2: From Univariate to Universal Forecasting
by: Ansari, Abdul Fatir, et al.
Published: (2025)
by: Ansari, Abdul Fatir, et al.
Published: (2025)
SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
by: He, Zelin, et al.
Published: (2026)
by: He, Zelin, et al.
Published: (2026)
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
by: Liu, Zhiding, et al.
Published: (2024)
by: Liu, Zhiding, et al.
Published: (2024)
Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
by: Medeiros, Heitor R., et al.
Published: (2025)
by: Medeiros, Heitor R., et al.
Published: (2025)
Test Time Learning for Time Series Forecasting
by: Christou, Panayiotis, et al.
Published: (2024)
by: Christou, Panayiotis, et al.
Published: (2024)
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
by: Sonmezer, Mert, et al.
Published: (2025)
by: Sonmezer, Mert, et al.
Published: (2025)
Towards Principled Test-Time Adaptation for Time Series Forecasting
by: Wang, Haochun, et al.
Published: (2026)
by: Wang, Haochun, et al.
Published: (2026)
Efficient Model Selection for Time Series Forecasting via LLMs
by: Wei, Wang, et al.
Published: (2025)
by: Wei, Wang, et al.
Published: (2025)
Distilling Time Series Foundation Models for Efficient Forecasting
by: Li, Yuqi, et al.
Published: (2026)
by: Li, Yuqi, et al.
Published: (2026)
Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives?
by: Chakraborty, Sanjay, et al.
Published: (2025)
by: Chakraborty, Sanjay, et al.
Published: (2025)
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting
by: Nochumsohn, Liran, et al.
Published: (2025)
by: Nochumsohn, Liran, et al.
Published: (2025)
An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data
by: King, Ryan, et al.
Published: (2024)
by: King, Ryan, et al.
Published: (2024)
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting
by: Cakiroglu, Mert Onur, et al.
Published: (2025)
by: Cakiroglu, Mert Onur, et al.
Published: (2025)
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models
by: Tian, Muhang, et al.
Published: (2023)
by: Tian, Muhang, et al.
Published: (2023)
Byte Pair Encoding for Efficient Time Series Forecasting
by: Götz, Leon, et al.
Published: (2025)
by: Götz, Leon, et al.
Published: (2025)
Data-Efficient Sleep Staging with Synthetic Time Series Pretraining
by: Grieger, Niklas, et al.
Published: (2024)
by: Grieger, Niklas, et al.
Published: (2024)
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
by: Han, Lu, et al.
Published: (2024)
by: Han, Lu, et al.
Published: (2024)
Causal Influences over Social Learning Networks
by: Kayaalp, Mert, et al.
Published: (2023)
by: Kayaalp, Mert, et al.
Published: (2023)
T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion
by: Chowdhury, Abdul Monaf, et al.
Published: (2025)
by: Chowdhury, Abdul Monaf, et al.
Published: (2025)
TimeFound: A Foundation Model for Time Series Forecasting
by: Xiao, Congxi, et al.
Published: (2025)
by: Xiao, Congxi, et al.
Published: (2025)
Time Series Foundation Models for Multivariate Financial Time Series Forecasting
by: Marconi, Ben A.
Published: (2025)
by: Marconi, Ben A.
Published: (2025)
An Analysis of Linear Time Series Forecasting Models
by: Toner, William, et al.
Published: (2024)
by: Toner, William, et al.
Published: (2024)
Structural Knowledge Informed Continual Multivariate Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)
by: Pan, Zijie, et al.
Published: (2024)
Temporal Query Network for Efficient Multivariate Time Series Forecasting
by: Lin, Shengsheng, et al.
Published: (2025)
by: Lin, Shengsheng, et al.
Published: (2025)
CC-Time: Cross-Model and Cross-Modality Time Series Forecasting
by: Chen, Peng, et al.
Published: (2025)
by: Chen, Peng, et al.
Published: (2025)
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
by: Zhang, Xiyuan, et al.
Published: (2025)
by: Zhang, Xiyuan, et al.
Published: (2025)
Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning
by: Turkmen, Mert Can, et al.
Published: (2026)
by: Turkmen, Mert Can, et al.
Published: (2026)
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
by: Fu, Xinghong, et al.
Published: (2026)
by: Fu, Xinghong, et al.
Published: (2026)
AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs
by: Dang, Ting, et al.
Published: (2026)
by: Dang, Ting, 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)
Similar Items
-
fev-bench: A Realistic Benchmark for Time Series Forecasting
by: Shchur, Oleksandr, et al.
Published: (2025) -
Multi-layer Stack Ensembles for Time Series Forecasting
by: Bosch, Nathanael, et al.
Published: (2025) -
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
by: Arango, Sebastian Pineda, et al.
Published: (2025) -
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
by: Auer, Andreas, et al.
Published: (2025) -
Chronos: Learning the Language of Time Series
by: Ansari, Abdul Fatir, et al.
Published: (2024)