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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
- 13412
- Venue
- VLDB
- Year
- 2024
- Pagerank
- 5.4311509e-05
- Overall Rank
- 8,782 | 38.97%
- 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 |
| 1,125 |
Anomaly Detection in Time Series: A Comprehensive Evaluation |
2022 |
VLDB |
0.00012163978 |
| 2,003 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
9.4058015e-05 |
| 2,497 |
Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series |
2020 |
VLDB |
8.5707162e-05 |
| 2,634 |
TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering |
2008 |
VLDB |
8.3865382e-05 |
| 3,412 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
7.5066903e-05 |
| 3,709 |
DeepTRANS: A Deep Learning System for Public Bus Travel Time Estimation using Traffic Forecasting |
2020 |
VLDB |
7.247929e-05 |
| 3,866 |
MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data |
2021 |
VLDB |
7.115456e-05 |
| 3,977 |
Missing Value Imputation on Multidimensional Time Series |
2021 |
VLDB |
7.0520778e-05 |
| 5,081 |
Forecasting Big Time Series: Old and New |
2018 |
VLDB |
6.4386901e-05 |
| 5,106 |
Probabilistic Demand Forecasting at Scale |
2017 |
VLDB |
6.4265568e-05 |
| 6,175 |
METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting |
2022 |
VLDB |
6.0261044e-05 |
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