:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Ma, Xiang, Li, Xuemei, Fang, Lexin, Zhao, Tianlong, Zhang, Caiming
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2401.02236
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SDMixer: Sparse Dual-Mixer for Time Series Forecasting
por: Ao, Xiang
Publicado: (2026)

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
por: Wang, Shiyu, et al.
Publicado: (2024)

PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
por: Gong, Zeying, et al.
Publicado: (2023)

ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting
por: Ma, Xiang, et al.
Publicado: (2025)

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
por: Kowsher, Md, et al.
Publicado: (2024)

DPWMixer: Dual-Path Wavelet Mixer for Long-Term Time Series Forecasting
por: Qianyang, Li, et al.
Publicado: (2025)

WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting
por: Liu, Quangao, et al.
Publicado: (2024)

AWEMixer: Adaptive Wavelet-Enhanced Mixer Network for Long-Term Time Series Forecasting
por: Li, Qianyang, et al.
Publicado: (2025)

Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series Forecasting
por: Klötergens, Christian, et al.
Publicado: (2025)

TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting
por: Hong, Young-Chae, et al.
Publicado: (2025)

SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting
por: Zhang, Xu, et al.
Publicado: (2026)

Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment
por: Ma, Xiang, et al.
Publicado: (2026)

Stationarity Exploration for Multivariate Time Series Forecasting
por: Liu, Hao, et al.
Publicado: (2025)

Volatility Forecasting in Global Financial Markets Using TimeMixer
por: Li, Alex
Publicado: (2024)

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
por: Zhang, Tongtong, et al.
Publicado: (2024)

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
por: Kraus, Maurice, et al.
Publicado: (2024)

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
por: Mehouachi, Fares B., et al.
Publicado: (2025)

Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale
por: Nie, Tong, et al.
Publicado: (2023)

MixerFlow: MLP-Mixer meets Normalising Flows
por: English, Eshant, et al.
Publicado: (2023)

A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
por: Zhong, Shuhan, et al.
Publicado: (2023)

Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
por: Bilal, Muhammad, et al.
Publicado: (2025)

Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
por: Murad, Md Mahmuddun Nabi, et al.
Publicado: (2025)

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
por: Wang, Shiyu, et al.
Publicado: (2024)

FFNet: MetaMixer-based Efficient Convolutional Mixer Design
por: Yun, Seokju, et al.
Publicado: (2024)

HSTMixer: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting
por: Wang, Yongyao, et al.
Publicado: (2025)

Free Energy Mixer
por: Lu, Jiecheng, et al.
Publicado: (2026)

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
por: Ekambaram, Vijay, et al.
Publicado: (2024)

JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis
por: Park, TaekHyun, et al.
Publicado: (2025)

PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
por: Zhong, Zhijie, et al.
Publicado: (2024)

Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching
por: Ma, Xiang, et al.
Publicado: (2024)

TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
por: Hu, Jiaxi, et al.
Publicado: (2024)

Masked Mixers for Language Generation and Retrieval
por: Badger, Benjamin L.
Publicado: (2024)

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
por: Liu, Peiyuan, et al.
Publicado: (2024)

iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer
por: Ota, Toshihiro, et al.
Publicado: (2023)

Fast Jet Tagging with MLP-Mixers on FPGAs
por: Sun, Chang, et al.
Publicado: (2025)

Cubit: Token Mixer with Kernel Ridge Regression
por: Zheng, Chuanyang, et al.
Publicado: (2026)

Multi-Mixer Models: Flexible Sequence Modeling with Shared Representations
por: Li, Kevin Y., et al.
Publicado: (2026)

IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction
por: Ye, Guangzai, et al.
Publicado: (2024)

Understanding MLP-Mixer as a Wide and Sparse MLP
por: Hayase, Tomohiro, et al.
Publicado: (2023)

MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning
por: Chergui, Abdelmadjid, et al.
Publicado: (2024)