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One Fits All:Power General Time Series Analysis by Pretrained LM
v1v2v3v4v5v6 (latest)

One Fits All:Power General Time Series Analysis by Pretrained LM

Neural Information Processing Systems (NeurIPS), 2023
23 February 2023
Tian Zhou
Peisong Niu
Qingsong Wen
Liang Sun
Rong Jin
    AI4TS
ArXiv (abs)PDFHTMLGithub (558★)

Papers citing "One Fits All:Power General Time Series Analysis by Pretrained LM"

50 / 372 papers shown
ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
Weilin Ruan
Wei Chen
Xilin Dang
Jianxiang Zhou
Weichuang Li
Xu Liu
Yuxuan Liang
AI4TS
206
6
0
11 Apr 2024
CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in
  Resource-Constrained CPS and IoT
CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT
Yi Hu
Jinhang Zuo
Alanis Zhao
Bob Iannucci
Carlee Joe-Wong
219
1
0
27 Mar 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey
Foundation Models for Time Series Analysis: A Tutorial and Survey
Yuxuan Liang
Haomin Wen
Yuqi Nie
Yushan Jiang
Ming Jin
Dongjin Song
Shirui Pan
Qingsong Wen
AI4TSAI4CE
361
296
0
21 Mar 2024
AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and
  GPT-2 in Wild Audiovisual Contexts
AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts
Jun-chen Yu
Zerui Zhang
Zhihong Wei
Gongpeng Zhao
Zhongpeng Cai
Yongqi Wang
Guochen Xie
Jichao Zhu
Wangyuan Zhu
267
5
0
20 Mar 2024
Functional Graph Convolutional Networks: A unified multi-task and
  multi-modal learning framework to facilitate health and social-care insights
Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insightsInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Tobia Boschi
Francesca Bonin
Rodrigo Ordonez-Hurtado
Cécile Rousseau
Alessandra Pascale
J. Dinsmore
153
6
0
15 Mar 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-TuningAAAI Conference on Artificial Intelligence (AAAI), 2024
Peiyuan Liu
Hang Guo
Tao Dai
Naiqi Li
Jigang Bao
Xudong Ren
Yong Jiang
Shu-Tao Xia
AI4TS
496
88
0
12 Mar 2024
$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM
  for Time Series Forecasting
S2\textbf{S}^2S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series ForecastingInternational Conference on Machine Learning (ICML), 2024
Zijie Pan
Yushan Jiang
Sahil Garg
Anderson Schneider
Yuriy Nevmyvaka
Dongjin Song
AI4TS
363
15
0
09 Mar 2024
InjectTST: A Transformer Method of Injecting Global Information into
  Independent Channels for Long Time Series Forecasting
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting
Ce Chi
Xing Wang
Kexin Yang
Zhiyan Song
Di Jin
Lin Zhu
Chao Deng
Junlan Feng
AI4TS
174
1
0
05 Mar 2024
Towards Foundation Time Series Model: To Synthesize Or Not To
  Synthesize?
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?
Kseniia Kuvshinova
Olga Tsymboi
Alina Kostromina
Dmitry Simakov
Elizaveta Kovtun
AI4TS
213
5
0
04 Mar 2024
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language
  Models
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models
Yilong Ren
Yue Chen
Shuai Liu
Boyue Wang
Haiyang Yu
Zhiyong Cui
AI4TS
325
37
0
04 Mar 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
486
67
0
29 Feb 2024
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy,
  Advances, and Outlook
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook
Xingchen Zou
Yibo Yan
Xixuan Hao
Yuehong Hu
Haomin Wen
...
Junbo Zhang
Yong Li
Tianrui Li
Yu Zheng
Yuxuan Liang
HAIAI4TS
349
88
0
29 Feb 2024
Towards Modeling Learner Performance with Large Language Models
Towards Modeling Learner Performance with Large Language Models
Seyed Parsa Neshaei
Richard Lee Davis
Adam Hazimeh
Bojan Lazarevski
Pierre Dillenbourg
Tanja Käser
AI4Ed
241
16
0
29 Feb 2024
Enhancing EEG-to-Text Decoding through Transferable Representations from
  Pre-trained Contrastive EEG-Text Masked Autoencoder
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder
Jiaqi Wang
Zhenxi Song
Zhengyu Ma
Xipeng Qiu
Min Zhang
Zhiguo Zhang
426
17
0
27 Feb 2024
Generative Pretrained Hierarchical Transformer for Time Series
  Forecasting
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
Zhiding Liu
Jiqian Yang
Mingyue Cheng
Yucong Luo
Zhi Li
AI4TS
240
38
0
26 Feb 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
AI4TSLRMVLM
252
59
0
25 Feb 2024
UrbanGPT: Spatio-Temporal Large Language Models
UrbanGPT: Spatio-Temporal Large Language Models
Zhonghang Li
Lianghao Xia
Jiabin Tang
Yong-mei Xu
Lei Shi
Long Xia
D. Yin
Chao Huang
AI4TS
383
154
0
25 Feb 2024
United We Pretrain, Divided We Fail! Representation Learning for Time
  Series by Pretraining on 75 Datasets at Once
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once
Maurice Kraus
Felix Divo
David Steinmann
Devendra Singh Dhami
Kristian Kersting
AI4TS
224
2
0
23 Feb 2024
Structural Knowledge Informed Continual Multivariate Time Series
  Forecasting
Structural Knowledge Informed Continual Multivariate Time Series Forecasting
Zijie Pan
Yushan Jiang
Dongjin Song
Sahil Garg
Kashif Rasul
Anderson Schneider
Yuriy Nevmyvaka
CLLAI4TS
200
4
0
20 Feb 2024
Right on Time: Revising Time Series Models by Constraining their Explanations
Right on Time: Revising Time Series Models by Constraining their Explanations
Maurice Kraus
David Steinmann
Antonia Wüst
Andre Kokozinski
Kristian Kersting
AI4TS
492
6
0
20 Feb 2024
Class-incremental Learning for Time Series: Benchmark and Evaluation
Class-incremental Learning for Time Series: Benchmark and Evaluation
Zhongzheng Qiao
Quang Pham
Zhen Cao
Hoang H Le
Ponnuthurai Nagaratnam Suganthan
Xudong Jiang
Savitha Ramasamy
241
16
0
19 Feb 2024
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal
  Prediction
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
Yuan Yuan
Jingtao Ding
J. Feng
Depeng Jin
Yong Li
AI4TS
328
131
0
19 Feb 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos
  Perspective
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
Jiaxi Hu
Yuehong Hu
Wei Chen
Ming Jin
Shirui Pan
Qingsong Wen
Yuxuan Liang
AI4TS
453
18
0
18 Feb 2024
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly
  Detection Models
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
Haotian Si
Changhua Pei
Hang Cui
Jingwen Yang
Yongqian Sun
...
Haiming Zhang
Jing Han
Dan Pei
Jianhui Li
Gaogang Xie
AI4TS
356
23
0
16 Feb 2024
Changes by Butterflies: Farsighted Forecasting with Group Reservoir
  Transformer
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer
Md Kowsher
Abdul Rafae Khan
Jia Xu
346
0
0
14 Feb 2024
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot
  Multivariate Time Series Forecasting through Next Curve Shape Prediction
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
Cheng Feng
Long Huang
Denis Krompass
AI4TS
338
9
0
12 Feb 2024
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization
  for Enhanced Time Series Forecasting
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
Yanjun Zhao
Tian Zhou
Chao Chen
Liang Sun
Yi Qian
Rong Jin
AI4TS
172
4
0
08 Feb 2024
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework
  for Robust Solar Power Forecasting
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting
Ziqing Ma
Wen-wu Wang
Tian Zhou
Chao Chen
Bingqing Peng
Liang Sun
Rong Jin
124
7
0
08 Feb 2024
Attention as Robust Representation for Time Series Forecasting
Attention as Robust Representation for Time Series Forecasting
Peisong Niu
Tian Zhou
Qingsong Wen
Liang Sun
Rong Jin
AI4TS
128
8
0
08 Feb 2024
Multi-Patch Prediction: Adapting LLMs for Time Series Representation
  Learning
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning
Hao Wang
Xu Ju
Jiangtong Li
Zhijian Xu
Dawei Cheng
Qiang Xu
AI4TSKELM
266
31
0
07 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models
MOMENT: A Family of Open Time-series Foundation ModelsInternational Conference on Machine Learning (ICML), 2024
Mononito Goswami
Konrad Szafer
Arjun Choudhry
Yifu Cai
Shuo Li
Artur Dubrawski
AIFinAI4TS
309
336
0
06 Feb 2024
Deep Learning for Multivariate Time Series Imputation: A Survey
Deep Learning for Multivariate Time Series Imputation: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Jun Wang
Wenjie Du
Yiyuan Yang
Linglong Qian
Wei Cao
Yuxuan Liang
Wenjia Wang
Yuxuan Liang
Qingsong Wen
AI4TSSyDaBDL
455
92
0
06 Feb 2024
Empowering Time Series Analysis with Large Language Models: A Survey
Empowering Time Series Analysis with Large Language Models: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Yushan Jiang
Zijie Pan
Xikun Zhang
Sahil Garg
Anderson Schneider
Yuriy Nevmyvaka
Dongjin Song
AI4TSAIFin
383
83
0
05 Feb 2024
Position: What Can Large Language Models Tell Us about Time Series
  Analysis
Position: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin
Yifan Zhang
Wei Chen
Kexin Zhang
Yuxuan Liang
Bin Yang
James Evans
Shirui Pan
Qingsong Wen
AI4TS
247
53
0
05 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
384
408
0
04 Feb 2024
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
Jiaxiang Dong
Haixu Wu
Yuxuan Wang
Yunzhong Qiu
Li Zhang
Jianmin Wang
Mingsheng Long
AI4TS
270
21
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
251
69
0
04 Feb 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu
Haoran Zhang
Chenyu Li
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AIFinAI4TSAI4CE
335
141
0
04 Feb 2024
Large Language Models for Time Series: A Survey
Large Language Models for Time Series: A Survey
Xiyuan Zhang
Ranak Roy Chowdhury
Rajesh K. Gupta
Jingbo Shang
AI4TS
531
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Rethinking Channel Dependence for Multivariate Time Series Forecasting:
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Yanyan Shen
AI4TSAIFin
415
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Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
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568
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VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse
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How Can Large Language Models Understand Spatial-Temporal Data?
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A Survey of Deep Learning and Foundation Models for Time Series
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John A. Miller
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281
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Jinliang Deng
Feiyang Ye
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Hui Xiong
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203
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Spatial-Temporal Large Language Model for Traffic Prediction
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Sun Yang
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537
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PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
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418
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RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series
  Tasks
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256
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