Poster "time series forecasting" Papers
18 papers found
Conference
Can LLMs Understand Time Series Anomalies?
Zihao Zhou, Rose Yu
ICLR 2025arXiv:2410.05440
35
citations
DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
Donghao Luo, Xue Wang
NEURIPS 2025
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni Liu, Nicolas Boulle, Raphaël Sarfati et al.
ICLR 2025arXiv:2410.05218
4
citations
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
Xingjian Wu, Xiangfei Qiu, Hanyin Cheng et al.
NEURIPS 2025arXiv:2510.14510
14
citations
Locally Connected Echo State Networks for Time Series Forecasting
Filip Matzner, František Mráz
ICLR 2025
1
citations
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
ChengAo Shen, Wenchao Yu, Ziming Zhao et al.
NEURIPS 2025arXiv:2505.24003
6
citations
TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
Jiawen Wei, jiang lan, Pengbo Wei et al.
NEURIPS 2025arXiv:2511.22853
This Time is Different: An Observability Perspective on Time Series Foundation Models
Ben Cohen, Emaad Khwaja, Youssef Doubli et al.
NEURIPS 2025arXiv:2505.14766
13
citations
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi, Shiyu Wang, Yuqi Nie et al.
ICLR 2025arXiv:2409.16040
194
citations
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer, Patrick Podest, Daniel Klotz et al.
NEURIPS 2025arXiv:2505.23719
36
citations
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
Kanghui Ning, Zijie Pan, Yu Liu et al.
NEURIPS 2025arXiv:2503.07649
15
citations
An Analysis of Linear Time Series Forecasting Models
William Toner, Luke Darlow
ICML 2024arXiv:2403.14587
47
citations
Loss Shaping Constraints for Long-Term Time Series Forecasting
Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro
ICML 2024arXiv:2402.09373
3
citations
Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
Tijin Yan, Hengheng Gong, Yongping He et al.
ICML 2024
Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast
Thomas Ferté, Dutartre Dan, Boris Hejblum et al.
ICML 2024
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov et al.
ICML 2024arXiv:2402.10198
56
citations
SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting
Lu Han, Han-Jia Ye, De-Chuan Zhan
ICML 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu, Haoran Zhang, Chenyu Li et al.
ICML 2024arXiv:2402.02368
148
citations