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A decoder-only foundation model for time-series forecasting

A decoder-only foundation model for time-series forecasting

14 October 2023
Abhimanyu Das
Weihao Kong
Rajat Sen
Yichen Zhou
    AI4TS
    AI4CE
ArXivPDFHTML

Papers citing "A decoder-only foundation model for time-series forecasting"

50 / 118 papers shown
Title
Retrieval Augmented Time Series Forecasting
Retrieval Augmented Time Series Forecasting
Sungwon Han
Seungeon Lee
M. Cha
Sercan Ö. Arik
Jinsung Yoon
AI4TS
23
0
0
07 May 2025
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
Wenfa Wu
Guanyu Zhang
Zheng Tan
Yi Wang
Hongsheng Qi
AI4TS
35
1
0
02 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
32
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
21
0
0
01 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
54
0
0
29 Apr 2025
Pretraining Large Brain Language Model for Active BCI: Silent Speech
Pretraining Large Brain Language Model for Active BCI: Silent Speech
Jinzhao Zhou
Zehong Cao
Yiqun Duan
Connor Barkley
Daniel Leong
...
Ziyi Zhao
T. Do
Yu-Cheng Chang
Sheng-Fu Liang
Chin-Teng Lin
32
0
0
29 Apr 2025
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
Robert Leppich
Michael Stenger
Daniel Grillmeyer
Vanessa Borst
Samuel Kounev
AI4TS
AI4CE
62
0
0
26 Apr 2025
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
M2^22AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
Sarah Alnegheimish
Zelin He
Matthew Reimherr
Akash Chandrayan
Abhinav Pradhan
Luca DÁngelo
27
0
0
21 Apr 2025
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
Jia Liu
Cheng Jinguo
Xia Fang
Zhenyuan Ma
Yuankai Wu
CLL
AI4TS
LRM
37
0
0
20 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis
Pets: General Pattern Assisted Architecture For Time Series Analysis
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
22
0
0
19 Apr 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
41
0
0
15 Apr 2025
A Prefixed Patch Time Series Transformer for Two-Point Boundary Value Problems in Three-Body Problems
A Prefixed Patch Time Series Transformer for Two-Point Boundary Value Problems in Three-Body Problems
Akira Hatakeyama
Shota Ito
Toshihiko Yanase
Naoya Ozaki
36
0
0
02 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
43
0
0
31 Mar 2025
TRACE: Time SeRies PArameter EffiCient FinE-tuning
TRACE: Time SeRies PArameter EffiCient FinE-tuning
Yuze Li
Wei Zhu
AI4TS
70
0
0
21 Mar 2025
Slim attention: cut your context memory in half without loss of accuracy -- K-cache is all you need for MHA
Nils Graef
Andrew Wasielewski
24
1
0
07 Mar 2025
TimeFound: A Foundation Model for Time Series Forecasting
Congxi Xiao
Jingbo Zhou
Yixiong Xiao
Xinjiang Lu
Le Zhang
Hui Xiong
AI4TS
46
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
52
1
0
06 Mar 2025
SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting
Ting Huang
Xu-Yang Chen
Han-Jia Ye
AI4TS
43
1
0
04 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
38
0
0
28 Feb 2025
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
Haoran Zhang
Yong Liu
Yunzhong Qiu
Haixuan Liu
Zhongyi Pei
Jianmin Wang
Mingsheng Long
AI4TS
35
0
0
28 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
X. Zhang
J. Liu
AI4TS
63
0
0
24 Feb 2025
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
Vasilii Feofanov
Songkang Wen
Marius Alonso
Romain Ilbert
Hongbo Guo
Malik Tiomoko
Lujia Pan
Jianfeng Zhang
I. Redko
AI4TS
VLM
47
1
0
24 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
36
0
0
18 Feb 2025
Performance of Zero-Shot Time Series Foundation Models on Cloud Data
Performance of Zero-Shot Time Series Foundation Models on Cloud Data
William Toner
Thomas L. Lee
Artjom Joosen
Rajkarn Singh
Martin Asenov
AI4TS
42
0
0
18 Feb 2025
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data
Abhilash Neog
Arka Daw
Sepideh Fatemi Khorasgani
Anuj Karpatne
AI4TS
26
0
0
18 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Balázs Kégl
OffRL
57
1
0
17 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
57
2
0
17 Feb 2025
Harnessing Vision Models for Time Series Analysis: A Survey
Harnessing Vision Models for Time Series Analysis: A Survey
Jingchao Ni
Ziming Zhao
ChengAo Shen
Hanghang Tong
Dongjin Song
Wei Cheng
Dongsheng Luo
Haifeng Chen
AI4TS
77
1
0
13 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
46
0
0
09 Feb 2025
LAST SToP For Modeling Asynchronous Time Series
LAST SToP For Modeling Asynchronous Time Series
Shubham Gupta
Thibaut Durand
Graham Taylor
Lilian W. Białokozowicz
AI4TS
39
0
0
04 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
39
1
0
28 Jan 2025
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis
Luwei Zeng
Runze Yan
AI4TS
36
0
0
13 Jan 2025
Evaluating Time Series Foundation Models on Noisy Periodic Time Series
Evaluating Time Series Foundation Models on Noisy Periodic Time Series
Syamantak Datta Gupta
AI4TS
29
0
0
01 Jan 2025
LINKs: Large Language Model Integrated Management for 6G Empowered Digital Twin NetworKs
LINKs: Large Language Model Integrated Management for 6G Empowered Digital Twin NetworKs
Shufan Jiang
Bangyan Lin
Yue Wu
Yuan Gao
32
2
0
31 Dec 2024
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
Mingyu Jin
Hua Tang
Chong Zhang
Qinkai Yu
Chengzhi Liu
Suiyuan Zhu
Yongfeng Zhang
Mengnan Du
AI4TS
96
26
0
31 Dec 2024
Time-Series Foundation Model for Value-at-Risk Forecasting
Time-Series Foundation Model for Value-at-Risk Forecasting
Anubha Goel
P. Pasricha
Juho Kanniainen
AI4TS
41
0
0
31 Dec 2024
Financial Fine-tuning a Large Time Series Model
Financial Fine-tuning a Large Time Series Model
Xinghong Fu
Masanori Hirano
Kentaro Imajo
AI4TS
AIFin
75
0
0
13 Dec 2024
Deep Learning Modeling Method for RF Devices Based on Uniform Noise
  Training Set
Deep Learning Modeling Method for RF Devices Based on Uniform Noise Training Set
Zhaokun Hu
Yindong Xiao
Houjun Wang
Jiayong Yu
Zihang Gao
64
0
0
05 Dec 2024
UTSD: Unified Time Series Diffusion Model
UTSD: Unified Time Series Diffusion Model
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
69
0
0
04 Dec 2024
Towards Foundation Models for Critical Care Time Series
Towards Foundation Models for Critical Care Time Series
Manuel Burger
Fedor Sergeev
Malte Londschien
Daphné Chopard
Hugo Yèche
...
Zeynep Babür
Jasmina Bogojeska
M. Faltys
Rita Kuznetsova
Gunnar Rätsch
AI4TS
LM&MA
65
0
0
25 Nov 2024
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series
  Foundation Models for Multivariate Healthcare Time Series
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series
Mingzhu Liu
Angela H. Chen
George H. Chen
AI4TS
67
0
0
19 Nov 2024
Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text
Xiaoliang Luo
Michael Ramscar
Bradley C. Love
34
1
0
17 Nov 2024
General Geospatial Inference with a Population Dynamics Foundation Model
General Geospatial Inference with a Population Dynamics Foundation Model
Mohit Agarwal
Mimi Sun
C. Kamath
Arbaaz Muslim
Prithul Sarker
...
Niv Efron
Yossi Matias
Greg C. Corrado
Krish Eswaran
Shruthi Prabhakara
AI4CE
36
2
0
11 Nov 2024
Energy Price Modelling: A Comparative Evaluation of four Generations of
  Forecasting Methods
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods
Alexandru-Victor Andrei
Georg Velev
Filip-Mihai Toma
Daniel Traian Pele
Stefan Lessmann
AI4TS
42
1
0
05 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
39
1
0
05 Nov 2024
Specialized Foundation Models Struggle to Beat Supervised Baselines
Specialized Foundation Models Struggle to Beat Supervised Baselines
Zongzhe Xu
Ritvik Gupta
Wenduo Cheng
Alexander Shen
Junhong Shen
Ameet Talwalkar
M. Khodak
AI4CE
38
6
0
05 Nov 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
Yanlong Wang
J. Xu
Fei Ma
Shao-Lun Huang
Danny Dongning Sun
Xiao-Ping Zhang
AI4TS
24
1
0
03 Nov 2024
FlexTSF: A Universal Forecasting Model for Time Series with Variable
  Regularities
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities
Jingge Xiao
Yile Chen
Gao Cong
Wolfgang Nejdl
Simon Gottschalk
AI4TS
26
0
0
30 Oct 2024
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Nate Gillman
Daksh Aggarwal
Michael Freeman
Saurabh Singh
Chen Sun
AI4TS
41
3
0
29 Oct 2024
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Xi Zhang
Yuan Pu
Yuki Kawamura
Andrew Loza
Yoshua Bengio
Dennis L. Shung
Alexander Tong
OOD
AI4TS
MedIm
23
2
0
28 Oct 2024
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