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Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture
  of Experts

Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

14 October 2024
Xu Liu
Juncheng Liu
Gerald Woo
Taha Aksu
Yuxuan Liang
Roger Zimmermann
Chenghao Liu
Silvio Savarese
Caiming Xiong
Doyen Sahoo
    AI4TS
ArXivPDFHTML

Papers citing "Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts"

9 / 9 papers shown
Title
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Zhen Liu
Yicheng Luo
B. Li
Emadeldeen Eldele
Min-man Wu
Qianli Ma
AI4TS
24
0
0
11 May 2025
FT-MoE: Sustainable-learning Mixture of Experts Model for Fault-Tolerant Computing with Multiple Tasks
FT-MoE: Sustainable-learning Mixture of Experts Model for Fault-Tolerant Computing with Multiple Tasks
Wenjing Xiao
Wenhao Song
Miaojiang Chen
Ruikun Luo
Min Chen
MoE
87
0
0
29 Apr 2025
CITRAS: Covariate-Informed Transformer for Time Series Forecasting
CITRAS: Covariate-Informed Transformer for Time Series Forecasting
Yosuke Yamaguchi
Issei Suemitsu
Wenpeng Wei
AI4TS
48
0
0
31 Mar 2025
NdLinear Is All You Need for Representation Learning
NdLinear Is All You Need for Representation Learning
Alex Reneau
Jerry Yao-Chieh Hu
Zhongfang Zhuang
Ting-Chun Liu
HAI
39
0
0
21 Mar 2025
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models
Xu Liu
Taha Aksu
Juncheng Liu
Qingsong Wen
Yuxuan Liang
Caiming Xiong
S.
Doyen Sahoo
Junnan Li
Chenghao Liu
AI4TS
45
0
0
14 Mar 2025
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting
Xiaobin Hong
J. Zhang
Wenzhong Li
Sanglu Lu
J. Li
AI4TS
60
0
0
03 Mar 2025
Investigating Compositional Reasoning in Time Series Foundation Models
Willa Potosnak
Cristian Challu
Mononito Goswami
Kin G. Olivares
Michał Wiliński
Nina Żukowska
Artur Dubrawski
ReLM
AI4TS
LRM
46
0
0
09 Feb 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
X. Shi
Shiyu Wang
Yuqi Nie
Dianqi Li
Zhou Ye
Qingsong Wen
Ming Jin
AI4TS
34
26
0
24 Sep 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time
  Series Forecasting
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
Qingxiang Liu
Xu Liu
Chenghao Liu
Qingsong Wen
Yuxuan Liang
AI4TS
AI4CE
32
6
0
23 May 2024
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