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TSMixer: An All-MLP Architecture for Time Series Forecasting

TSMixer: An All-MLP Architecture for Time Series Forecasting

10 March 2023
Si-An Chen
Chun-Liang Li
Nate Yoder
Sercan Ö. Arik
Tomas Pfister
    AI4TS
ArXivPDFHTML

Papers citing "TSMixer: An All-MLP Architecture for Time Series Forecasting"

19 / 19 papers shown
Title
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
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?
Ibram Abdelmalak
Kiran Madhusudhanan
Jungmin Choi
Maximilian Stubbemann
Lars Schmidt-Thieme
AI4TS
65
1
0
17 Feb 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
40
12
0
03 Jan 2025
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
Yuang Zhao
Tianyu Li
Jiadong Chen
Shenrong Ye
Fuxin Jiang
Tieying Zhang
Xiaofeng Gao
AI4TS
88
0
0
26 Nov 2024
LSEAttention is All You Need for Time Series Forecasting
LSEAttention is All You Need for Time Series Forecasting
Dizhen Liang
AI4TS
29
0
0
31 Oct 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
40
0
0
22 Oct 2024
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow
  Prediction Method
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method
Peng Xie
Minbo Ma
Bin Wang
Junbo Zhang
Tianrui Li
24
0
0
08 Sep 2024
Practical Marketplace Optimization at Uber Using Causally-Informed
  Machine Learning
Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning
Bobby Chen
Siyu Chen
Jason Dowlatabadi
Yu Xuan Hong
Vinayak Iyer
...
Kaichen Wei
Chen Xu
Jingnan Yang
Allen T. Zhang
Guoqing Zhang
OffRL
24
0
0
26 Jul 2024
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing
Egon Persak
Miguel F. Anjos
Sebastian Lautz
Aleksandar Kolev
AI4TS
31
0
0
03 Jul 2024
TwinS: Revisiting Non-Stationarity in Multivariate Time Series
  Forecasting
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
Jiaxi Hu
Qingsong Wen
Sijie Ruan
Li Liu
Yuxuan Liang
AI4TS
26
5
0
06 Jun 2024
Scaling Law for Time Series Forecasting
Scaling Law for Time Series Forecasting
Jingzhe Shi
Qinwei Ma
Huan Ma
Lei Li
AI4TS
31
8
0
24 May 2024
Forecasting with Hyper-Trees
Forecasting with Hyper-Trees
Alexander März
Kashif Rasul
35
0
0
13 May 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
34
15
0
29 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain
FreDF: Learning to Forecast in the Frequency Domain
Hao Wang
Licheng Pan
Zhichao Chen
Degui Yang
Sen Zhang
Yifei Yang
Xinggao Liu
Haoxuan Li
Dacheng Tao
AI4TS
54
12
0
04 Feb 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
17
5
0
18 Jan 2024
Multi-view Multi-label Anomaly Network Traffic Classification based on
  MLP-Mixer Neural Network
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network
Yu Zheng
Zhan Dang
Chunlei Peng
Chao Yang
Xinbo Gao
14
2
0
30 Oct 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series
  Forecasting
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou
Ziqing Ma
Xue Wang
Qingsong Wen
Liang Sun
Tao Yao
Wotao Yin
Rong Jin
AI4TS
118
165
0
18 May 2022
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
239
2,554
0
04 May 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
164
3,799
0
14 Dec 2020
1