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

Taha Aksu

Roger Zimmermann

Chenghao Liu

Silvio Savarese

ArXiv (abs)PDF HTML

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

18 / 18 papers shown

Title
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval Jialin Chen Ziyu Zhao Gaukhar Nurbek Aosong Feng Ali Maatouk Leandros Tassiulas Yifeng Gao Rex Ying AI4TS 52 0 0 10 Jun 2025
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers Simon Roschmann Quentin Bouniot Vasilii Feofanov I. Redko Zeynep Akata AI4TS 43 0 0 10 Jun 2025
MIRA: Medical Time Series Foundation Model for Real-World Health Data Hao Li Bowen Deng Chang Xu Zhiyuan Feng Viktor Schlegel ... Yizheng Sun Jingyuan Sun Kailai Yang Yiyao Yu Jiang Bian AI4TS OOD AI4CE 62 0 0 09 Jun 2025
Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Shuai Liu Ning Cao Yile Chen Yue Jiang Gao Cong 38 0 0 30 May 2025
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models Zezhi Shao Yujie Li Fei Wang Chengqing Yu Yisong Fu Tangwen Qian Bin Xu Boyu Diao Yongjun Xu Xueqi Cheng AI4TS 92 0 0 23 May 2025
Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines Xiaohou Shi Ke Li Aobo Liang Yan Sun AI4TS 120 0 0 21 May 2025
Towards a Foundation Model for Communication Systems Davide Buffelli Sowmen Das Yu-Wei Lin Sattar Vakili Chien-Yi Wang Masoud Attarifar Pritthijit Nath Da-shan Shiu 112 0 0 20 May 2025
This Time is Different: An Observability Perspective on Time Series Foundation Models Ben Cohen Emaad Khwaja Youssef Doubli Salahidine Lemaachi Chris Lettieri ... Kan Wang Stephan Xie David Asker Ameet Talwalkar Othmane Abou-Amal AI4TS AI4CE 85 0 0 20 May 2025
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Christoph Jürgen Hemmer Daniel Durstewitz AI4TS SyDa AI4CE 299 1 0 19 May 2025
Learning Soft Sparse Shapes for Efficient Time-Series Classification Zhen Liu Yicheng Luo Yangqiu Song Emadeldeen Eldele Min-man Wu Qianli Ma AI4TS 136 0 0 11 May 2025
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 465 0 0 29 Apr 2025
CITRAS: Covariate-Informed Transformer for Time Series Forecasting Yosuke Yamaguchi Issei Suemitsu Wenpeng Wei AI4TS 114 2 0 31 Mar 2025
NdLinear: Don't Flatten! Building Superior Neural Architectures by Preserving N-D Structure Alex Reneau Jerry Yao-Chieh Hu Zhongfang Zhuang Ting-Chun Liu Xiang He Judah Goldfeder Nadav Timor Allen Roush Ravid Shwartz-Ziv HAI 108 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 Siyang Song Doyen Sahoo Junnan Li Chenghao Liu AI4TS 92 1 0 14 Mar 2025
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting Xiaobin Hong Jiawei Zhang Wenzhong Li Sanglu Lu Jiajun Li AI4TS 111 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 134 2 0 09 Feb 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 191 56 0 24 Sep 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting Qingxiang Liu Xu Liu Chenghao Liu Qingsong Wen Yuxuan Liang AI4TS AI4CE 109 11 0 23 May 2024