Imagen de Portada

The Relevance of AWS Chronos: An Evaluation of Standard Methods for Time Series Forecasting with Limited Tuning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Baron, Matthew, Karpinski, Alex
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Chronos: Learning the Language of Time Series
por: Ansari, Abdul Fatir, et al.
Publicado: (2024)

An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting
por: Cao, Rui, et al.
Publicado: (2024)

CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
por: Sonmezer, Mert, et al.
Publicado: (2025)

Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting
por: Madhusudhanan, Kiran, et al.
Publicado: (2024)

ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
por: Arango, Sebastian Pineda, et al.
Publicado: (2025)

Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data
por: Coelho, C., et al.
Publicado: (2023)

Chronos-2: From Univariate to Universal Forecasting
por: Ansari, Abdul Fatir, et al.
Publicado: (2025)

ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
por: EskandariNasab, MohammadReza, et al.
Publicado: (2024)

ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection
por: Khan, Uzair, et al.
Publicado: (2026)

ChronoGraph: A Real-World Graph-Based Multivariate Time Series Dataset
por: Lutu, Adrian Catalin, et al.
Publicado: (2025)

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data
por: Wang, Chengsen, et al.
Publicado: (2025)

TempusBench: An Evaluation Framework for Time-Series Forecasting
por: Goktas, Denizalp, et al.
Publicado: (2026)

Adaptive Fine-Tuning via Pattern Specialization for Deep Time Series Forecasting
por: Saadallah, Amal, et al.
Publicado: (2025)

Conformal Prediction Algorithms for Time Series Forecasting: Methods and Benchmarking
por: Sabashvili, Andro
Publicado: (2026)

WaveTuner: Comprehensive Wavelet Subband Tuning for Time Series Forecasting
por: Wang, Yubo, et al.
Publicado: (2025)

AROpt: An Optimization Method for Autoregressive Time Series Forecasting
por: Li, Zheng, et al.
Publicado: (2026)

Training and Evaluating Causal Forecasting Models for Time-Series
por: Crasson, Thomas, et al.
Publicado: (2024)

BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
por: Li, Zhixuan, et al.
Publicado: (2025)

Dissecting Chronos: Sparse Autoencoders Reveal Causal Feature Hierarchies in Time Series Foundation Models
por: Mishra, Anurag
Publicado: (2026)

Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?
por: Abdelmalak, Ibram, et al.
Publicado: (2025)

FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
por: Zhang, Boya, et al.
Publicado: (2026)

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
por: Liu, Peiyuan, et al.
Publicado: (2024)

GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
por: Aksu, Taha, et al.
Publicado: (2024)

Is Mamba Effective for Time Series Forecasting?
por: Wang, Zihan, et al.
Publicado: (2024)

Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting
por: Wang, Jiacheng, et al.
Publicado: (2026)

EasyTime: Time Series Forecasting Made Easy
por: Qiu, Xiangfei, et al.
Publicado: (2024)

Time Series Forecastability Measures
por: Wang, Rui, et al.
Publicado: (2025)

Ellipsoidal Time Series Forecasting
por: Wang, Qilin
Publicado: (2025)

Performative Time-Series Forecasting
por: Zhao, Zhiyuan, et al.
Publicado: (2023)

In-Context Fine-Tuning for Time-Series Foundation Models
por: Das, Abhimanyu, et al.
Publicado: (2024)

Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting
por: Ali, Mahad, et al.
Publicado: (2025)

Time-Series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation of the State-of-the-art Algorithms
por: Farahani, Mojtaba A., et al.
Publicado: (2024)

Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
por: Feng, Wanjin, et al.
Publicado: (2025)

Selective Learning for Deep Time Series Forecasting
por: Fu, Yisong, et al.
Publicado: (2025)

Hierarchical Time Series Forecasting with Robust Reconciliation
por: Aikawa, Shuhei, et al.
Publicado: (2025)

Stationarity Exploration for Multivariate Time Series Forecasting
por: Liu, Hao, et al.
Publicado: (2025)

Online Time Series Forecasting with Theoretical Guarantees
por: Li, Zijian, et al.
Publicado: (2025)

An Analysis of Linear Time Series Forecasting Models
por: Toner, William, et al.
Publicado: (2024)

Harmonic Dataset Distillation for Time Series Forecasting
por: Hong, Seungha, et al.
Publicado: (2026)

auto-sktime: Automated Time Series Forecasting
por: Zöller, Marc-André, et al.
Publicado: (2023)