ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.11413
  4. Cited By
Large Pre-trained time series models for cross-domain Time series
  analysis tasks

Large Pre-trained time series models for cross-domain Time series analysis tasks

19 November 2023
Harshavardhan Kamarthi
B. A. Prakash
    VLM
    AI4TS
ArXivPDFHTML

Papers citing "Large Pre-trained time series models for cross-domain Time series analysis tasks"

12 / 12 papers shown
Title
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Ashraf Ghiye
Baptiste Barreau
Laurent Carlier
Michalis Vazirgiannis
81
0
0
18 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
Keli Zhang
Caiming Xiong
Shri Kiran Srinivasan
Doyen Sahoo
Junnan Li
Chenghao Liu
AI4TS
47
0
0
14 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
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
Haoxin Liu
Chenghao Liu
B. Prakash
AI4TS
LRM
96
7
0
09 Nov 2024
ROSE: Register Assisted General Time Series Forecasting with Decomposed
  Frequency Learning
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning
Yihang Wang
Yuying Qiu
Peng Chen
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TS
AI4CE
36
10
0
24 May 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey
Foundation Models for Time Series Analysis: A Tutorial and Survey
Keli Zhang
Haomin Wen
Yuqi Nie
Yushan Jiang
Ming Jin
Dongjin Song
Shirui Pan
Qingsong Wen
AI4TS
AI4CE
91
117
0
21 Mar 2024
Advancing Time Series Classification with Multimodal Language Modeling
Advancing Time Series Classification with Multimodal Language Modeling
Mingyue Cheng
Yiheng Chen
Qi Liu
Zhiding Liu
Yucong Luo
AI4TS
40
11
0
19 Mar 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by
  Long-Short-Term Prompting
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
Haoxin Liu
Zhiyuan Zhao
Jindong Wang
Harshavardhan Kamarthi
B. A. Prakash
AI4TS
LRM
VLM
66
24
0
25 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
120
170
0
04 Feb 2024
Learning Interpretable Deep State Space Model for Probabilistic Time
  Series Forecasting
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting
Longyuan Li
Junchi Yan
Xiaokang Yang
Yaohui Jin
OOD
BDL
AI4TS
45
60
0
31 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,900
0
14 Dec 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
1