HSTMixer: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yongyao, Wang, Jingyuan, Yu, Xie, Ji, Jiahao, Li, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
by: Zhang, Tongtong, et al.
Published: (2024)
by: Zhang, Tongtong, et al.
Published: (2024)
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale
by: Nie, Tong, et al.
Published: (2023)
by: Nie, Tong, et al.
Published: (2023)
Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
by: Bilal, Muhammad, et al.
Published: (2025)
by: Bilal, Muhammad, et al.
Published: (2025)
SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting
by: Zhang, Xu, et al.
Published: (2026)
by: Zhang, Xu, et al.
Published: (2026)
Understanding MLP-Mixer as a Wide and Sparse MLP
by: Hayase, Tomohiro, et al.
Published: (2023)
by: Hayase, Tomohiro, et al.
Published: (2023)
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
by: Han, Chengkai, et al.
Published: (2025)
by: Han, Chengkai, et al.
Published: (2025)
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
by: Zhong, Shuhan, et al.
Published: (2023)
by: Zhong, Shuhan, et al.
Published: (2023)
MixerFlow: MLP-Mixer meets Normalising Flows
by: English, Eshant, et al.
Published: (2023)
by: English, Eshant, et al.
Published: (2023)
TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting
by: Hong, Young-Chae, et al.
Published: (2025)
by: Hong, Young-Chae, et al.
Published: (2025)
A Tutorial on Regression Analysis: From Linear Models to Deep Learning -- Lecture Notes on Artificial Intelligence
by: Wang, Jingyuan, et al.
Published: (2025)
by: Wang, Jingyuan, et al.
Published: (2025)
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2024)
by: Zhong, Zhijie, et al.
Published: (2024)
Fast Jet Tagging with MLP-Mixers on FPGAs
by: Sun, Chang, et al.
Published: (2025)
by: Sun, Chang, et al.
Published: (2025)
Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry Breaking
by: Karakida, Ryo, et al.
Published: (2024)
by: Karakida, Ryo, et al.
Published: (2024)
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)
by: Ji, Jiahao, et al.
Published: (2022)
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)
by: Ji, Jiahao, et al.
Published: (2022)
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer
by: Mitha, Samir, et al.
Published: (2023)
by: Mitha, Samir, et al.
Published: (2023)
Beyond Tree Models: A Hybrid Model of KAN and gMLP for Large-Scale Financial Tabular Data
by: Zhang, Mingming, et al.
Published: (2024)
by: Zhang, Mingming, et al.
Published: (2024)
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting
by: Ma, Xiang, et al.
Published: (2024)
by: Ma, Xiang, et al.
Published: (2024)
Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning
by: Ji, Jiahao, et al.
Published: (2023)
by: Ji, Jiahao, et al.
Published: (2023)
Toeplitz MLP Mixers are Low Complexity, Information-Rich Sequence Models
by: Badger, Benjamin L., et al.
Published: (2026)
by: Badger, Benjamin L., et al.
Published: (2026)
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer
by: Ota, Toshihiro, et al.
Published: (2023)
by: Ota, Toshihiro, et al.
Published: (2023)
Local Truncation Error-Guided Neural ODEs for Large Scale Traffic Forecasting
by: Zhang, Xiao, et al.
Published: (2026)
by: Zhang, Xiao, et al.
Published: (2026)
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting
by: Shao, Zezhi, et al.
Published: (2023)
by: Shao, Zezhi, et al.
Published: (2023)
KAN or MLP: A Fairer Comparison
by: Yu, Runpeng, et al.
Published: (2024)
by: Yu, Runpeng, et al.
Published: (2024)
DPWMixer: Dual-Path Wavelet Mixer for Long-Term Time Series Forecasting
by: Qianyang, Li, et al.
Published: (2025)
by: Qianyang, Li, et al.
Published: (2025)
AWEMixer: Adaptive Wavelet-Enhanced Mixer Network for Long-Term Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2025)
by: Li, Qianyang, et al.
Published: (2025)
Hierarchical Forecasting at Scale
by: Sprangers, Olivier, et al.
Published: (2023)
by: Sprangers, Olivier, et al.
Published: (2023)
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
by: Wang, Shiyu, et al.
Published: (2024)
by: Wang, Shiyu, et al.
Published: (2024)
FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
by: Yu, Chenyang, et al.
Published: (2025)
by: Yu, Chenyang, et al.
Published: (2025)
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting
by: Liu, Quangao, et al.
Published: (2024)
by: Liu, Quangao, et al.
Published: (2024)
Volatility Forecasting in Global Financial Markets Using TimeMixer
by: Li, Alex
Published: (2024)
by: Li, Alex
Published: (2024)
Scale-Disentangled spatiotemporal Modeling for Long-term Traffic Emission Forecasting
by: Wu, Yan, et al.
Published: (2025)
by: Wu, Yan, et al.
Published: (2025)
SDMixer: Sparse Dual-Mixer for Time Series Forecasting
by: Ao, Xiang
Published: (2026)
by: Ao, Xiang
Published: (2026)
FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
by: Mehouachi, Fares B., et al.
Published: (2025)
by: Mehouachi, Fares B., et al.
Published: (2025)
Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal Interactive Traffic Forecasting Framework
by: Liu, Mu, et al.
Published: (2024)
by: Liu, Mu, et al.
Published: (2024)
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
by: Fang, Yuchen, et al.
Published: (2024)
by: Fang, Yuchen, et al.
Published: (2024)
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
by: Guo, Suhan, et al.
Published: (2024)
by: Guo, Suhan, et al.
Published: (2024)
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
by: Ni, Juntong, et al.
Published: (2025)
by: Ni, Juntong, et al.
Published: (2025)
HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control
by: Zhu, Yaqiao, et al.
Published: (2025)
by: Zhu, Yaqiao, et al.
Published: (2025)
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs
by: Chen, Xinyang, et al.
Published: (2026)
by: Chen, Xinyang, et al.
Published: (2026)
Similar Items
-
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
by: Zhang, Tongtong, et al.
Published: (2024) -
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale
by: Nie, Tong, et al.
Published: (2023) -
Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
by: Bilal, Muhammad, et al.
Published: (2025) -
SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting
by: Zhang, Xu, et al.
Published: (2026) -
Understanding MLP-Mixer as a Wide and Sparse MLP
by: Hayase, Tomohiro, et al.
Published: (2023)