Copertina

From Observations to States: Latent Time Series Forecasting

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yang, Jie, Hu, Yifan, Li, Yuante, Zhang, Kexin, Ding, Kaize, Yu, Philip S.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Revisiting Multivariate Time Series Forecasting with Missing Values
di: Yang, Jie, et al.
Pubblicazione: (2025)

Glocal Information Bottleneck for Time Series Imputation
di: Yang, Jie, et al.
Pubblicazione: (2025)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
di: Hu, Yifan, et al.
Pubblicazione: (2025)

Deep Coupling Network For Multivariate Time Series Forecasting
di: Yi, Kun, et al.
Pubblicazione: (2024)

Cross-Domain Conditional Diffusion Models for Time Series Imputation
di: Zhang, Kexin, et al.
Pubblicazione: (2025)

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
di: Hu, Yifan, et al.
Pubblicazione: (2025)

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
di: Hu, Yifan, et al.
Pubblicazione: (2024)

Distilling Time Series Foundation Models for Efficient Forecasting
di: Li, Yuqi, et al.
Pubblicazione: (2026)

IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
di: Wu, Beiliang, et al.
Pubblicazione: (2025)

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
di: Liu, Peiyuan, et al.
Pubblicazione: (2024)

Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting
di: He, Hui, et al.
Pubblicazione: (2022)

Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
di: Klötergens, Christian, et al.
Pubblicazione: (2024)

Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
di: Li, Zijian, et al.
Pubblicazione: (2024)

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
di: Hu, Yifan, et al.
Pubblicazione: (2025)

Deconfounded Time Series Forecasting: A Causal Inference Approach
di: Gao, Wentao, et al.
Pubblicazione: (2024)

Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
di: Cheng, Yunyao, et al.
Pubblicazione: (2022)

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

Wavelet Mixture of Experts for Time Series Forecasting
di: Zhou, Zheng, et al.
Pubblicazione: (2025)

Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
di: Xu, Ruiyao, et al.
Pubblicazione: (2024)

Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs
di: Liu, Shuhan, et al.
Pubblicazione: (2024)

KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
di: Ding, Kuiye, et al.
Pubblicazione: (2025)

Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
di: Zhang, Yifan, et al.
Pubblicazione: (2023)

Hierarchical Time Series Forecasting Via Latent Mean Encoding
di: Salatiello, Alessandro, et al.
Pubblicazione: (2025)

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting
di: Zhang, Xudong, et al.
Pubblicazione: (2026)

PPGF: Probability Pattern-Guided Time Series Forecasting
di: Sun, Yanru, et al.
Pubblicazione: (2025)

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

Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
di: Yang, Yanfeng, et al.
Pubblicazione: (2025)

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
di: Hu, Jiaxi, et al.
Pubblicazione: (2024)

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

CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
di: Zhang, Yingwei, et al.
Pubblicazione: (2025)

Long Range Switching Time Series Prediction via State Space Model
di: Zhang, Jiaming, et al.
Pubblicazione: (2024)

A Survey on Time-Series Distance Measures
di: Paparrizos, John, et al.
Pubblicazione: (2024)

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
di: Yang, Runze, et al.
Pubblicazione: (2025)

Learning Latent Spaces for Domain Generalization in Time Series Forecasting
di: Deng, Songgaojun, et al.
Pubblicazione: (2024)

The Forecast After the Forecast: A Post-Processing Shift in Time Series
di: Liang, Daojun, et al.
Pubblicazione: (2026)

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

Non-collective Calibrating Strategy for Time Series Forecasting
di: Wang, Bin, et al.
Pubblicazione: (2025)

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

Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting
di: Wu, Yifan, et al.
Pubblicazione: (2026)

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
di: Yu, Yongbo, et al.
Pubblicazione: (2024)