Copertina

TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Taga, Ege Onur, Ildiz, M. Emrullah, Oymak, Samet
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Retrieval Augmented Time Series Forecasting
di: Tire, Kutay, et al.
Pubblicazione: (2024)

Learning to Correct: Calibrated Reinforcement Learning for Multi-Attempt Chain-of-Thought
di: Ildiz, Muhammed Emrullah, et al.
Pubblicazione: (2026)

High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
di: Ildiz, M. Emrullah, et al.
Pubblicazione: (2024)

Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery
di: Gozeten, Halil Alperen, et al.
Pubblicazione: (2026)

From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
di: Ildiz, M. Emrullah, et al.
Pubblicazione: (2024)

Mechanics of Next Token Prediction with Self-Attention
di: Li, Yingcong, et al.
Pubblicazione: (2024)

Learning to Bet for Horizon-Aware Anytime-Valid Testing
di: Taga, Ege Onur, et al.
Pubblicazione: (2026)

Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
di: Zhang, Xuechen, et al.
Pubblicazione: (2024)

Covariance-Aware Transformers for Quadratic Programming and Decision Making
di: Tire, Kutay, et al.
Pubblicazione: (2026)

TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
di: Moroshan, Vladyslav, et al.
Pubblicazione: (2025)

Are KANs Effective for Multivariate Time Series Forecasting?
di: Han, Xiao, et al.
Pubblicazione: (2024)

Test-Time Training Provably Improves Transformers as In-context Learners
di: Gozeten, Halil Alperen, et al.
Pubblicazione: (2025)

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
di: Liu, Juncheng, et al.
Pubblicazione: (2024)

Nearest Neighbor Multivariate Time Series Forecasting
di: Zhang, Huiliang, et al.
Pubblicazione: (2025)

Revisiting Attention for Multivariate Time Series Forecasting
di: Wu, Haixiang
Pubblicazione: (2024)

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
di: Wang, Tan, et al.
Pubblicazione: (2025)

Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series
di: Vural, Onur, et al.
Pubblicazione: (2025)

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

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

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series
di: Vapsi, Annita, et al.
Pubblicazione: (2026)

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
di: Lu, Jiecheng, et al.
Pubblicazione: (2024)

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
di: Feng, Shibo, et al.
Pubblicazione: (2025)

Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
di: Cortés, Adrien, et al.
Pubblicazione: (2025)

Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
di: Liu, Zibo, et al.
Pubblicazione: (2025)

Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting
di: Luo, Yuchen, et al.
Pubblicazione: (2025)

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
di: Cao, Fanpu, et al.
Pubblicazione: (2024)

Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
di: Cao, Fanpu, et al.
Pubblicazione: (2026)

TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
di: Hu, Jiaxi, et al.
Pubblicazione: (2024)

Are Self-Attentions Effective for Time Series Forecasting?
di: Kim, Dongbin, et al.
Pubblicazione: (2024)

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
di: Niu, Yiming, et al.
Pubblicazione: (2025)

Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
di: Madarasingha, Chamara, et al.
Pubblicazione: (2025)

HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting
di: Savchenko, Andrey, et al.
Pubblicazione: (2025)

DPANet: Dual Pyramid Attention Network for Multivariate Time Series Forecasting
di: Li, Qianyang, et al.
Pubblicazione: (2025)

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
di: Yue, Wenzhen, et al.
Pubblicazione: (2025)

Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
di: Zhang, Huiliang, et al.
Pubblicazione: (2025)

ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting
di: Li, Qianyang, et al.
Pubblicazione: (2026)

SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
di: Zhang, Zhenwei, et al.
Pubblicazione: (2023)

BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
di: Lin, Xiao, et al.
Pubblicazione: (2024)

Continuous Chain of Thought Enables Parallel Exploration and Reasoning
di: Gozeten, Halil Alperen, et al.
Pubblicazione: (2025)

Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay
di: Jagirdar, Hussain, et al.
Pubblicazione: (2025)