:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hou, Yikai, Tang, Peng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2501.09776
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spectra-Guided Neural Tucker Factorization
by: Wang, Fusheng, et al.
Published: (2026)

Neural Canonical Polyadic Factorization for Traffic Analysis
by: Luo, Wenyu, et al.
Published: (2025)

Noisy Nonnegative Tucker Decomposition with Sparse Factors and Missing Data
by: Zhang, Xiongjun, et al.
Published: (2022)

Attamba: Attending To Multi-Token States
by: Akhauri, Yash, et al.
Published: (2024)

Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictions
by: Utkin, Lev V., et al.
Published: (2025)

Unsupervised feature selection using Bayesian Tucker decomposition
by: Taguchi, Y-h., et al.
Published: (2026)

CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
by: Bouayed, Aymene Mohammed, et al.
Published: (2024)

Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees
by: Lin, Jiahe, et al.
Published: (2025)

Multi-Head Low-Rank Attention
by: Liu, Songtao, et al.
Published: (2026)

Tucker Diffusion Model for High-dimensional Tensor Generation
by: Guo, Jianhua, et al.
Published: (2026)

Karush-Kuhn-Tucker Condition-Trained Neural Networks (KKT Nets)
by: Arvind, Shreya, et al.
Published: (2024)

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
by: Fang, Shikai, et al.
Published: (2023)

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
by: Yuan, Jin, et al.
Published: (2022)

Neural Tucker Convolutional Network for Water Quality Analysis
by: Si, Hongnan, et al.
Published: (2025)

Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition
by: Ryzhakov, Gleb, et al.
Published: (2024)

Tucker Attention: A generalization of approximate attention mechanisms
by: Klein, Timon, et al.
Published: (2026)

Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
by: Sandler, Adam, et al.
Published: (2019)

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023)

Noise-Augmented $\ell_0$ Regularization of Tensor Regression with Tucker Decomposition
by: Yan, Tian, et al.
Published: (2023)

Attending to Graph Transformers
by: Müller, Luis, et al.
Published: (2023)

Geometry-aware training of factorized layers in tensor Tucker format
by: Zangrando, Emanuele, et al.
Published: (2023)

Faithful and Interpretable Explanations for Complex Ensemble Time Series Forecasts using Surrogate Models and Forecastability Analysis
by: Zhao, Yikai, et al.
Published: (2025)

Identifiability of Nonnegative Tucker Decompositions -- Part I: Theory
by: Saha, Subhayan, et al.
Published: (2025)

MoH: Multi-Head Attention as Mixture-of-Head Attention
by: Jin, Peng, et al.
Published: (2024)

Adaptive Head Budgeting for Efficient Multi-Head Attention
by: Faye, Bilal, et al.
Published: (2026)

TransMLA: Multi-Head Latent Attention Is All You Need
by: Meng, Fanxu, et al.
Published: (2025)

Dynamic Anomaly Identification in Accounting Transactions via Multi-Head Self-Attention Networks
by: Wang, Yi, et al.
Published: (2025)

Long Input Sequence Network for Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)

Superiority of Multi-Head Attention in In-Context Linear Regression
by: Cui, Yingqian, et al.
Published: (2024)

LRTuckerRep: Low-rank Tucker Representation Model for Multi-dimensional Data Completion
by: Gong, Wenwu, et al.
Published: (2025)

StoTAM: Stochastic Alternating Minimization for Tucker-Structured Tensor Sensing
by: Li, Shuang
Published: (2026)

Attend or Perish: Benchmarking Attention in Algorithmic Reasoning
by: Spiegel, Michal, et al.
Published: (2025)

Symmetry Nonnegative Matrix Factorization Algorithm Based on Self-paced Learning
by: Wang, Lei, et al.
Published: (2024)

Oblivious subspace embeddings for compressed Tucker decompositions
by: Pietrosanu, Matthew, et al.
Published: (2024)

MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
by: Yuan, Peng, et al.
Published: (2024)

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation
by: Zhang, Jiaqing, et al.
Published: (2025)

Mode-Aware Non-Linear Tucker Autoencoder for Tensor-based Unsupervised Learning
by: Zheng, Junjing, et al.
Published: (2025)

Sparse Tucker Decomposition and Graph Regularization for High-Dimensional Time Series Forecasting
by: Xia, Sijia, et al.
Published: (2026)

SPARTAN: A Sparse Transformer World Model Attending to What Matters
by: Lei, Anson, et al.
Published: (2024)

SPHENIC: Topology-Aware Multi-View Clustering for Spatial Transcriptomics
by: Guo, Chenkai, et al.
Published: (2025)