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Timer: Generative Pre-trained Transformers Are Large Time Series Models

Timer: Generative Pre-trained Transformers Are Large Time Series Models

4 February 2024
Yong Liu
Haoran Zhang
Chenyu Li
Xiangdong Huang
Jianmin Wang
Mingsheng Long
    AIFin
    AI4TS
    AI4CE
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Papers citing "Timer: Generative Pre-trained Transformers Are Large Time Series Models"

43 / 43 papers shown
Title
Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast
Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast
Joey Chan
Zhen Chen
Ershun Pan
29
0
0
13 May 2025
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
Rahuul Rangaraj
Jimeng Shi
Azam Shirali
Rajendra Paudel
Yanzhao Wu
Giri Narasimhan
43
0
0
02 May 2025
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Yu-Hsiang Lan
Anton Alyakin
AI4TS
26
0
0
01 May 2025
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization
Peiliang Gong
Emadeldeen Eldele
Min Wu
Zhenghua Chen
Xiaoli Li
Daoqiang Zhang
AI4TS
AI4CE
44
0
0
15 Apr 2025
From Text to Time? Rethinking the Effectiveness of the Large Language Model for Time Series Forecasting
From Text to Time? Rethinking the Effectiveness of the Large Language Model for Time Series Forecasting
Xinyu Zhang
Shanshan Feng
Xutao Li
AI4TS
26
0
0
09 Apr 2025
Foundation Models for Time Series: A Survey
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
Sandeep Chandrashekhara
Garima Jain
Sunayana Hubli
Gayathri Botla
Ramesh Doddaiah
AI4TS
AI4CE
27
0
0
05 Apr 2025
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning
Yuanlong Wu
Mingxing Nie
Tao Zhu
L. Chen
Huansheng Ning
Yaping Wan
CLL
49
0
0
10 Mar 2025
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph
Shule Hao
Junpeng Bao
Chuncheng Lu
AI4TS
KELM
49
0
0
10 Mar 2025
BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling
Li weile
Liu Xiao
57
1
0
08 Mar 2025
TimeFound: A Foundation Model for Time Series Forecasting
Congxi Xiao
Jingbo Zhou
Yixiong Xiao
Xinjiang Lu
Le Zhang
Hui Xiong
AI4TS
49
0
0
06 Mar 2025
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
Kanghui Ning
Zijie Pan
Yu Liu
Yushan Jiang
J. Zhang
Kashif Rasul
Anderson Schneider
Lintao Ma
Yuriy Nevmyvaka
Dongjin Song
VLM
AI4TS
54
1
0
06 Mar 2025
Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks
Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks
Jianzhe Xue
Dongcheng Yuan
Zhanxi Ma
Tiankai Jiang
Yu Sun
Haibo Zhou
Xuemin Shen
68
0
0
03 Mar 2025
Are foundation models useful feature extractors for electroencephalography analysis?
Are foundation models useful feature extractors for electroencephalography analysis?
Özgün Turgut
Felix S. Bott
Markus Ploner
Daniel Rueckert
43
0
0
28 Feb 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
Yaxuan Kong
Yiyuan Yang
Yoontae Hwang
Wenjie Du
Stefan Zohren
Zhangyang Wang
Ming Jin
Qingsong Wen
AI4TS
71
2
0
26 Feb 2025
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
Daoyu Wang
Mingyue Cheng
Ziqiang Liu
Qiang Liu
Enhong Chen
AI4TS
DiffM
50
1
0
24 Feb 2025
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Wenxuan Wang
K. Wu
Yujian Betterest Li
Dan Wang
Xiaotian Zhang
Jiaheng Liu
AI4TS
68
0
0
24 Feb 2025
Exploring Representations and Interventions in Time Series Foundation Models
Exploring Representations and Interventions in Time Series Foundation Models
Michał Wiliński
Mononito Goswami
Nina Żukowska
Willa Potosnak
Artur Dubrawski
AI4TS
64
2
0
17 Feb 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
53
0
0
09 Feb 2025
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback
Yongzhi Qi
Hao Hu
Dazhou Lei
Jianshen Zhang
Zhengxin Shi
Yulin Huang
Zhengyu Chen
Xiaoming Lin
Zuo-jun Shen
AI4TS
AI4CE
46
1
0
28 Jan 2025
UTSD: Unified Time Series Diffusion Model
UTSD: Unified Time Series Diffusion Model
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
82
0
0
04 Dec 2024
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records
  using Decoder-Only Transformers
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers
Hojjat Karami
David Atienza
Anisoara Ionescu
70
1
0
20 Nov 2024
A Mamba Foundation Model for Time Series Forecasting
A Mamba Foundation Model for Time Series Forecasting
Haoyu Ma
Yushu Chen
Wenlai Zhao
Jinzhe Yang
Yingsheng Ji
Xinghua Xu
Xiaozhu Liu
Hao Jing
Shengzhuo Liu
Guangwen Yang
AI4TS
Mamba
47
2
0
05 Nov 2024
A Survey of Financial AI: Architectures, Advances and Open Challenges
A Survey of Financial AI: Architectures, Advances and Open Challenges
Junhua Liu
AIFin
80
3
0
01 Nov 2024
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate
  Time Series Forecasting
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
Zhiding Liu
Jiqian Yang
Qingyang Mao
Yuze Zhao
Mingyue Cheng
Zhi Li
Qi Liu
Enhong Chen
AI4TS
30
0
0
30 Oct 2024
TimeSeriesExam: A time series understanding exam
TimeSeriesExam: A time series understanding exam
Yifu Cai
Arjun Choudhry
Mononito Goswami
Artur Dubrawski
ELM
AI4TS
34
10
0
18 Oct 2024
Towards Neural Scaling Laws for Time Series Foundation Models
Towards Neural Scaling Laws for Time Series Foundation Models
Qingren Yao
Chao-Han Huck Yang
Renhe Jiang
Yuxuan Liang
Ming Jin
Shirui Pan
AI4TS
AI4CE
42
7
0
16 Oct 2024
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture
  of Experts
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Xu Liu
Juncheng Liu
Gerald Woo
Taha Aksu
Yuxuan Liang
Roger Zimmermann
Chenghao Liu
Silvio Savarese
Caiming Xiong
Doyen Sahoo
AI4TS
33
11
0
14 Oct 2024
Towards Generalisable Time Series Understanding Across Domains
Towards Generalisable Time Series Understanding Across Domains
Özgün Turgut
Philip Muller
M. Menten
Daniel Rueckert
AI4TS
48
1
0
09 Oct 2024
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
Yong Liu
Guo Qin
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AI4TS
29
6
0
07 Oct 2024
Metadata Matters for Time Series: Informative Forecasting with
  Transformers
Metadata Matters for Time Series: Informative Forecasting with Transformers
Jiaxiang Dong
Haixu Wu
Yuxuan Wang
Li Zhang
Jianmin Wang
Mingsheng Long
AI4TS
24
0
0
04 Oct 2024
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
38
28
0
24 Sep 2024
Towards Long-Context Time Series Foundation Models
Towards Long-Context Time Series Foundation Models
Nina Żukowska
Mononito Goswami
Michał Wiliński
Willa Potosnak
Artur Dubrawski
AI4TS
21
2
0
20 Sep 2024
Implicit Reasoning in Deep Time Series Forecasting
Implicit Reasoning in Deep Time Series Forecasting
Willa Potosnak
Cristian Challu
Mononito Goswami
Michał Wiliński
Nina Żukowska
Artur Dubrawski
ReLM
AI4TS
LRM
35
2
0
17 Sep 2024
MOMENT: A Family of Open Time-series Foundation Models
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami
Konrad Szafer
Arjun Choudhry
Yifu Cai
Shuo Li
Artur Dubrawski
AIFin
AI4TS
71
111
0
06 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers
Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo
Chenghao Liu
Akshat Kumar
Caiming Xiong
Silvio Savarese
Doyen Sahoo
AI4TS
117
165
0
04 Feb 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language
  Models
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Yong Liu
Guo Qin
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AI4TS
32
22
0
04 Feb 2024
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Samuel Dooley
Gurnoor Singh Khurana
Chirag Mohapatra
Siddartha Naidu
Colin White
AI4TS
86
59
0
03 Nov 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
31
50
0
18 May 2023
LibCity: A Unified Library Towards Efficient and Comprehensive Urban
  Spatial-Temporal Prediction
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction
Jiawei Jiang
Chengkai Han
Wenjun Jiang
Wayne Xin Zhao
Jingyuan Wang
AI4TS
AI4CE
45
7
0
27 Apr 2023
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
AI4TS
117
394
0
03 Feb 2022
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and
  Benchmarking
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
Soukayna Mouatadid
Paulo Orenstein
Genevieve Flaspohler
M. Oprescu
J. Cohen
...
Sean Knight
Maria Geogdzhayeva
Sam Levang
E. Fraenkel
Lester W. Mackey
AI4TS
AI4Cl
103
11
0
21 Sep 2021
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViT
VGen
245
484
0
20 Apr 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
246
4,489
0
23 Jan 2020
1