Cover Image

MAFS: Multi-head Attention Feature Selection for High-Dimensional Data via Deep Fusion of Filter Methods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Xiaoyan, Meng, Qingyu, Wen, Yalu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
by: Ma, Chen, et al.
Published: (2026)

FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions
by: Boschi, Tobia, et al.
Published: (2023)

Diffusion-Driven High-Dimensional Variable Selection
by: Wang, Minjie, et al.
Published: (2025)

A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data
by: Islam, Md Saiful, et al.
Published: (2021)

LLM Sparsity Prior for Robust Feature Selection
by: Skinner, Caleb, et al.
Published: (2026)

Data Fusion for High-Resolution Estimation
by: Guan, Amy, et al.
Published: (2025)

A multi-locus predictiveness curve and its summary assessment for genetic risk prediction
by: Wei, Changshuai, et al.
Published: (2025)

Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
by: Zheng, Chenghui, et al.
Published: (2025)

AdapDISCOM: An Adaptive Sparse Regression Method for High-Dimensional Multimodal Data With Block-Wise Missingness and Measurement Errors
by: Baldé, Maimouna, et al.
Published: (2025)

A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
by: Urban, Christopher J., et al.
Published: (2020)

High-Dimensional Change Point Detection using Graph Spanning Ratio
by: Sun, Yang-Wen, et al.
Published: (2025)

Robust Ultra-High-Dimensional Variable Selection With Correlated Structure Using Group Testing
by: Guo, Wanru, et al.
Published: (2026)

Interpretable Deep Learning Methods for Multiview Learning
by: Wang, Hengkang, et al.
Published: (2023)

High-Dimensional Independence Testing via Maximum and Average Distance Correlations
by: Shen, Cencheng, et al.
Published: (2020)

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
by: Auddy, Arnab, et al.
Published: (2024)

Semi-Supervised Health Index Monitoring with Feature Generation and Fusion
by: Frusque, Gaëtan, et al.
Published: (2023)

Variable Selection for Comparing High-dimensional Time-Series Data
by: Mitsuzawa, Kensuke, et al.
Published: (2024)

Modeling High-Dimensional Dependent Data in the Presence of Many Explanatory Variables and Weak Signals
by: Gao, Zhaoxing, et al.
Published: (2024)

Sharp Trade-Offs in High-Dimensional Inference via 2-Level SLOPE
by: Bu, Zhiqi, et al.
Published: (2025)

Causally-Aware Unsupervised Feature Selection Learning
by: Shen, Zongxin, et al.
Published: (2024)

On Prediction Feature Assignment in the Heckman Selection Model
by: Mai, Huy, et al.
Published: (2023)

Clustering and Pruning in Causal Data Fusion
by: Tabell, Otto, et al.
Published: (2025)

2D Stability Selection: Design Jittering for Doubly Stable Feature Selection
by: Nouraie, Mahdi, et al.
Published: (2026)

Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
by: Oh, Seungyeon, et al.
Published: (2025)

Virtual Dummies: Enabling Scalable FDR-Controlled Variable Selection via Sequential Sampling of Null Features
by: Koka, Taulant, et al.
Published: (2026)

Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
by: Zhang, Zhenhao, et al.
Published: (2024)

LOCO Feature Importance Inference without Data Splitting via Minipatch Ensembles
by: Gan, Luqin, et al.
Published: (2022)

Data Fusion with Distributional Equivalence Test-then-pool
by: Yang, Linying, et al.
Published: (2026)

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)

Factorized Fusion Shrinkage for Dynamic Relational Data
by: Zhao, Peng, et al.
Published: (2022)

Hypothesis Testing for High-Dimensional Matrix-Valued Data
by: Cui, Shijie, et al.
Published: (2024)

HNCI: High-Dimensional Network Causal Inference
by: Du, Wenqin, et al.
Published: (2024)

Latent Network Estimation and Variable Selection for Compositional Data via Variational EM
by: Osborne, Nathan, et al.
Published: (2020)

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
by: Matabuena, Marcos
Published: (2025)

Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance
by: Choudhury, Jyotishka Ray, et al.
Published: (2023)

High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors
by: Chen, Elynn, et al.
Published: (2024)

Horseshoe Forests for High-Dimensional Causal Survival Analysis
by: Jacobs, Tijn, et al.
Published: (2025)

High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
by: Zhao, Boxin, et al.
Published: (2021)

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
by: He, Zelin, et al.
Published: (2024)

Spectral Differential Network Analysis for High-Dimensional Time Series
by: Hellstern, Michael, et al.
Published: (2024)