Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2205.13504
Cited By
v1
v2
v3 (latest)
Are Transformers Effective for Time Series Forecasting?
AAAI Conference on Artificial Intelligence (AAAI), 2022
26 May 2022
Ailing Zeng
Mu-Hwa Chen
L. Zhang
Qiang Xu
AI4TS
Re-assign community
ArXiv (abs)
PDF
HTML
Github (2219★)
Papers citing
"Are Transformers Effective for Time Series Forecasting?"
50 / 488 papers shown
Minimal Time Series Transformer
Joni-Kristian Kämäräinen
AI4TS
165
0
0
12 Mar 2025
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series Forecasting
Liang Yu
Lai Tu
Xiang Bai
AI4TS
255
0
0
11 Mar 2025
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
International Conference on Learning Representations (ICLR), 2025
Chenghan Li
Mingchen Li
Ruisheng Diao
AI4TS
284
7
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
265
2
0
10 Mar 2025
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models
Yanlong Wang
Jian Xu
Tiantian Gao
Hongkang Zhang
Shao-Lun Huang
Danny Dongning Sun
Xiao-Ping Zhang
AI4TS
324
0
0
10 Mar 2025
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs
Journal of Supercomputing (J. Supercomput.), 2025
Haoran Fan
Bin Li
Yixuan Weng
Shoujun Zhou
AI4TS
340
1
0
05 Mar 2025
SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting
Ting Huang
Xu-Yang Chen
Han-Jia Ye
AI4TS
238
2
0
04 Mar 2025
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest
Yuhan Jing
Jiangming Wang
Lei Zhang
Haifeng Sun
Bo He
Zirui Zhuang
Chengsen Wang
Q. Qi
Jianxin Liao
AI4TS
222
0
0
03 Mar 2025
Patch-wise Structural Loss for Time Series Forecasting
Dilfira Kudrat
Zongxia Xie
Yanru Sun
Tianyu Jia
Q. Hu
AI4TS
982
13
0
02 Mar 2025
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
230
7
0
28 Feb 2025
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation
Eyal Yakir
Dor Tsur
Haim Permuter
AI4TS
353
0
0
27 Feb 2025
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators
BigData Congress [Services Society] (BSS), 2024
Amit Kumar
Taoran Ji
386
3
0
26 Feb 2025
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Bingke Zhu
Xiaoxiao Wang
Minghui Jia
Yihan Tao
Xiao Kong
Ali Luo
Yingying Chen
Ming Tang
Jinqiao Wang
370
1
0
25 Feb 2025
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
Xin Zhang
Liangxiu Han
Stephen White
Saad Hassan
Philip A Kalra
James Ritchie
Carl Diver
Jennie Shorley
374
1
0
24 Feb 2025
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
Guoqi Yu
Yaoming Li
Juncheng Wang
Xiaoyu Guo
Angelica I. Aviles-Rivero
Tong Yang
Shujun Wang
AI4TS
377
3
0
24 Feb 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
Raeid Saqur
Anastasis Kratsios
Florian Krach
Yannick Limmer
Jacob-Junqi Tian
John Willes
Blanka Horvath
Frank Rudzicz
MoE
277
0
0
24 Feb 2025
TGT: A Temporal Gating Transformer for Smartphone App Usage Prediction
Longlong Li
Cunquan Qu
Guanghui Wang
HAI
AI4TS
280
0
0
24 Feb 2025
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification
International Journal of Computer Applications (IJCA), 2025
Arshia Kermani
Ehsan Zeraatkar
Habib Irani
483
8
0
23 Feb 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
AAAI Conference on Artificial Intelligence (AAAI), 2025
Ege Onur Taga
M. E. Ildiz
Samet Oymak
AI4TS
303
15
0
22 Feb 2025
PPGF: Probability Pattern-Guided Time Series Forecasting
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Yanru Sun
Zongxia Xie
Haoyu Xing
Hualong Yu
Q. Hu
AI4TS
168
14
0
18 Feb 2025
Investigating a Model-Agnostic and Imputation-Free Approach for Irregularly-Sampled Multivariate Time-Series Modeling
Abhilash Neog
Arka Daw
Sepideh Fatemi Khorasgani
Medha Sawhney
Aanish Pradhan
...
Heather L. Wander
Dexter W Howard
C. Carey
Paul C. Hanson
Anuj Karpatne
AI4TS
296
1
0
18 Feb 2025
Positional Encoding in Transformer-Based Time Series Models: A Survey
Habib Irani
Vangelis Metsis
AI4TS
206
19
0
17 Feb 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Weilin Ruan
Siru Zhong
Haomin Wen
Yuxuan Liang
AI4TS
369
7
0
16 Feb 2025
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
Aditya Dey
Jonas Kusch
Fadi Al Machot
AI4TS
263
1
0
14 Feb 2025
Modeling Time-evolving Causality over Data Streams
Knowledge Discovery and Data Mining (KDD), 2025
Naoki Chihara
Yasuko Matsubara
Ren Fujiwara
Yasushi Sakurai
AI4TS
347
3
0
13 Feb 2025
A Deep Inverse-Mapping Model for a Flapping Robotic Wing
International Conference on Learning Representations (ICLR), 2025
Hadar Sharvit
Raz Karl
Tsevi Beatus
144
0
0
13 Feb 2025
TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data
Leonardo Berti
Gjergji Kasneci
AI4TS
600
4
0
12 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
372
5
0
09 Feb 2025
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Siru Zhong
Weilin Ruan
Ming Jin
Huan Li
Qingsong Wen
Yuxuan Liang
VLM
AI4TS
382
27
0
06 Feb 2025
Large Language Models are Few-shot Multivariate Time Series Classifiers
Data mining and knowledge discovery (DMKD), 2025
Yakun Chen
Zihao Li
Chao Yang
Xianzhi Wang
Guandong Xu
AI4TS
194
6
0
30 Jan 2025
A transformer-based deep q learning approach for dynamic load balancing in software-defined networks
Evans Tetteh Owusu
Kwame Agyemang-Prempeh Agyekum
Marinah Benneh
Pius Ayorna
Justice Owusu Agyemang
George Nii Martey Colley
James Dzisi Gazde
127
1
0
28 Jan 2025
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting
Wenxuan Xie
Fanpu Cao
AI4TS
250
1
0
27 Jan 2025
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Wenzhen Yue
Yixiao Liu
Xianghua Ying
Bowei Xing
Ruohao Guo
Ji Shi
AI4TS
203
10
0
23 Jan 2025
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions
Qianying Cao
Shanqing Liu
Alan John Varghese
Jérome Darbon
M. Triantafyllou
George Karniadakis
AI4TS
968
2
0
21 Jan 2025
Dynamic Trend Fusion Module for Traffic Flow Prediction
Applied Soft Computing (ASC), 2025
Jing Chen
Haocheng Ye
Zhian Ying
Yuntao Sun
Wenqiang Xu
AI4TS
219
40
0
18 Jan 2025
Unveiling the Potential of Text in High-Dimensional Time Series Forecasting
Xin Zhou
Weiqing Wang
Shilin Qu
Zhiqiang Zhang
Christoph Bergmeir
AI4TS
301
4
0
13 Jan 2025
Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers
Energy Reports (Energy Rep.), 2025
Muhammad Umair Danish
Katarina Grolinger
AI4TS
250
21
0
12 Jan 2025
Using Pre-trained LLMs for Multivariate Time Series Forecasting
Malcolm Wolff
Shenghao Yang
Kari Torkkola
Michael W. Mahoney
AI4TS
AIFin
255
4
0
10 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
Fuhang Liang
Rucong Xu
Deng Lin
OOD
252
1
0
10 Jan 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
Tobias Leemann
Alina Fastowski
Felix Pfeiffer
Gjergji Kasneci
452
7
0
10 Jan 2025
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
Daojun Liang
Haixia Zhang
Dongfeng Yuan
AI4TS
171
0
0
09 Jan 2025
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
Neural Information Processing Systems (NeurIPS), 2024
Yunshi Wen
Tengfei Ma
Tsui-Wei Weng
Lam M. Nguyen
A. Julius
AI4TS
261
8
0
08 Jan 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
Knowledge Discovery and Data Mining (KDD), 2024
Daojun Liang
Haixia Zhang
Dongfeng Yuan
UQCV
373
3
0
08 Jan 2025
Koopman Learning with Episodic Memory
William T. Redman
Dean Huang
M. Fonoberova
Igor Mezić
316
4
0
08 Jan 2025
From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting
IEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2025
Xin Cao
Qinghua Tao
Yingjie Zhou
Lu Zhang
Le Zhang
Dongjin Song
Dapeng Oliver Wu
Ce Zhu
364
2
0
06 Jan 2025
Approximation Rate of the Transformer Architecture for Sequence Modeling
Neural Information Processing Systems (NeurIPS), 2023
Hao Jiang
Qianxiao Li
523
17
0
03 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera Talukder
Yisong Yue
Georgia Gkioxari
AI4TS
519
30
0
03 Jan 2025
DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images
Enbo Huang
Yuan Zhang
Faliang Huang
Guangyu Zhang
Wenshu Fan
DiffM
194
0
0
25 Dec 2024
Breaking the Context Bottleneck on Long Time Series Forecasting
Chao Ma
Yikai Hou
Xiang Li
Yinggang Sun
Haining Yu
Zhou Fang
Jiaxing Qu
AI4TS
319
0
0
21 Dec 2024
GG-SSMs: Graph-Generating State Space Models
Computer Vision and Pattern Recognition (CVPR), 2024
Nikola Zubić
Davide Scaramuzza
Mamba
509
3
0
17 Dec 2024
Previous
1
2
3
...
10
5
6
7
8
9
Next
