NeurIPS "time series forecasting" Papers
11 papers found
DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
Donghao Luo, Xue Wang
NeurIPS 2025poster
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
Xingjian Wu, Xiangfei Qiu, Hanyin Cheng et al.
NeurIPS 2025posterarXiv:2510.14510
9
citations
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
ChengAo Shen, Wenchao Yu, Ziming Zhao et al.
NeurIPS 2025posterarXiv:2505.24003
5
citations
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
Wenzhen Yue, Yong Liu, Hao Wang et al.
NeurIPS 2025oralarXiv:2505.08550
9
citations
PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series
Xinghong Chen, Weilin Wu, Kunping Yang et al.
NeurIPS 2025oral
Selective Learning for Deep Time Series Forecasting
Yisong Fu, Zezhi Shao, Chengqing Yu et al.
NeurIPS 2025oralarXiv:2510.25207
1
citations
SEMPO: Lightweight Foundation Models for Time Series Forecasting
Hui He, Kun Yi, Yuanchi Ma et al.
NeurIPS 2025oralarXiv:2510.19710
SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
Qitai Tan, Yiyun Chen, Mo Li et al.
NeurIPS 2025oralarXiv:2510.20273
This Time is Different: An Observability Perspective on Time Series Foundation Models
Ben Cohen, Emaad Khwaja, Youssef Doubli et al.
NeurIPS 2025posterarXiv:2505.14766
11
citations
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer, Patrick Podest, Daniel Klotz et al.
NeurIPS 2025posterarXiv:2505.23719
31
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 2025posterarXiv:2503.07649
11
citations