Back to papers
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
Summary: MSD-Mixer: an MLP‑Mixer that explicitly decomposes uni-/multivariate time series using multi-scale temporal patching and MLPs to model intra/inter-patch dynamics and channel correlations. New loss constrains residual mean and autocorrelation for decomposition completeness; achieves consistent, efficient SOTA across five time-series tasks.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13411
- Venue
- VLDB
- Year
- 2024
- Pagerank
- 4.456315e-05
- Overall Rank
- 8,744 | 39.17%
- DOI
-
10.14778/3654621.3654637
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 1,253 |
Anomaly Detection in Time Series: A Comprehensive Evaluation |
2022 |
VLDB |
0.00013032074 |
| 2,046 |
TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering |
2008 |
VLDB |
9.6920859e-05 |
| 2,276 |
Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series |
2020 |
VLDB |
9.1261944e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9327638e-05 |
| 3,411 |
MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data |
2021 |
VLDB |
7.1253055e-05 |
| 3,464 |
DeepTRANS: A Deep Learning System for Public Bus Travel Time Estimation using Traffic Forecasting |
2020 |
VLDB |
7.0696727e-05 |
| 3,943 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
6.6099833e-05 |
| 4,332 |
Missing Value Imputation on Multidimensional Time Series |
2021 |
VLDB |
6.2805243e-05 |
| 4,888 |
Forecasting Big Time Series: Old and New |
2018 |
VLDB |
5.8531064e-05 |
| 5,257 |
Probabilistic Demand Forecasting at Scale |
2017 |
VLDB |
5.6003925e-05 |
| 5,895 |
METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting |
2022 |
VLDB |
5.2857247e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 2,427 |
Optimal Multi-scale Patterns in Time Series Streams |
2006 |
SIGMOD |
8.8370658e-05 |
| 8,286 |
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting |
2023 |
VLDB |
4.5435639e-05 |
| 6,851 |
Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering |
2023 |
VLDB |
4.9084229e-05 |
| 10,739 |
Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods |
2025 |
VLDB |
4.1945683e-05 |
| 7,278 |
Interpretable Clustering of Multivariate Time Series with Time2Feat |
2023 |
VLDB |
4.7793885e-05 |
| 5,468 |
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles |
2022 |
VLDB |
5.4902013e-05 |
| 13,156 |
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning |
2024 |
VLDB |
- |
| 4,332 |
Missing Value Imputation on Multidimensional Time Series |
2021 |
VLDB |
6.2805243e-05 |
| 6,204 |
OnlineSTL: Scaling Time Series Decomposition by 100x |
2022 |
VLDB |
5.1590612e-05 |
| 10,876 |
MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection |
2025 |
VLDB |
4.1945683e-05 |