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. 2207.01186
  4. Cited By
Less Is More: Fast Multivariate Time Series Forecasting with Light
  Sampling-oriented MLP Structures

Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

4 July 2022
Tianze Zhang
Yizhuo Zhang
Wei Cao
Jiang Bian
Xiaohan Yi
Shun Zheng
Jian Li
    BDL
    AI4TS
ArXivPDFHTML

Papers citing "Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures"

23 / 23 papers shown
Title
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Zhining Liu
Ze Yang
Xiao Lin
Ruizhong Qiu
Tianxin Wei
Yada Zhu
Hendrik Hamann
Jingrui He
Hanghang Tong
AI4TS
62
0
0
24 May 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera Talukder
Yisong Yue
Georgia Gkioxari
AI4TS
111
13
0
03 Jan 2025
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
152
1
0
18 Nov 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
Guoqi Yu
Yaoming Li
Xiaoyu Guo
Dayu Wang
Zirui Liu
Shujun Wang
Tong Yang
AI4TS
357
0
0
22 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
Xiaoming Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
68
12
0
21 Oct 2024
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
Yuxuan Shu
Vasileios Lampos
AI4TS
AI4CE
83
0
0
11 Jun 2024
Instance-wise Graph-based Framework for Multivariate Time Series
  Forecasting
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting
Wentao Xu
Weiqing Liu
Jiang Bian
Jian Yin
Tie-Yan Liu
AI4TS
36
7
0
14 Sep 2021
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
97
2,168
0
24 Jun 2021
Pay Attention to MLPs
Pay Attention to MLPs
Hanxiao Liu
Zihang Dai
David R. So
Quoc V. Le
AI4CE
92
657
0
17 May 2021
ResMLP: Feedforward networks for image classification with
  data-efficient training
ResMLP: Feedforward networks for image classification with data-efficient training
Hugo Touvron
Piotr Bojanowski
Mathilde Caron
Matthieu Cord
Alaaeldin El-Nouby
...
Gautier Izacard
Armand Joulin
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
VLM
73
657
0
07 May 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
390
2,638
0
04 May 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series
  Forecasting
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao
Yujing Wang
Juanyong Duan
Ce Zhang
Xia Zhu
...
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
39
509
0
13 Mar 2021
Connecting the Dots: Multivariate Time Series Forecasting with Graph
  Neural Networks
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Xiaojun Chang
Chengqi Zhang
AI4TS
73
1,365
0
24 May 2020
Reformer: The Efficient Transformer
Reformer: The Efficient Transformer
Nikita Kitaev
Lukasz Kaiser
Anselm Levskaya
VLM
166
2,279
0
13 Jan 2020
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
  on Time Series Forecasting
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
AI4TS
67
1,404
0
29 Jun 2019
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
94
1,026
0
24 May 2019
Temporal Pattern Attention for Multivariate Time Series Forecasting
Temporal Pattern Attention for Multivariate Time Series Forecasting
Shun-Yao Shih
Fan-Keng Sun
Hung-yi Lee
AI4TS
66
712
0
12 Sep 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks
  for Sequence Modeling
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
80
4,759
0
04 Mar 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
514
129,831
0
12 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
690
21,613
0
22 May 2017
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
141
3,848
0
10 Apr 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural
  Networks
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
BDL
AI4TS
102
1,978
0
21 Mar 2017
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
413
27,205
0
01 Sep 2014
1