:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ge, Li, Chen, Lin, Chen, Yudong, Jiang, Xue
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Signal Processing
Online Access:	https://arxiv.org/abs/2402.03468
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Tensor Completion via Gradient Tensor Nulclear L1-L2 Norm for Traffic Data Recovery
by: Shu, Hao, et al.
Published: (2025)

Low Rank Tensor Completion via Adaptive ADMM
by: Führling, Niclas, et al.
Published: (2026)

When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning
by: Li, Siyuan, et al.
Published: (2025)

Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting
by: Zhu, Mingyi, et al.
Published: (2025)

Revisiting Trace Norm Minimization for Tensor Tucker Completion: A Direct Multilinear Rank Learning Approach
by: Tong, Xueke, et al.
Published: (2024)

Large-Scale Bayesian Tensor Reconstruction: An Approximate Message Passing Solution
by: Cheng, Bingyang, et al.
Published: (2025)

Normalized Iterative Hard Thresholding for Tensor Recovery
by: Li, Li, et al.
Published: (2025)

Generating Comprehensive Lithium Battery Charging Data with Generative AI
by: Jiang, Lidang, et al.
Published: (2024)

Dynamic Fault Characteristics Evaluation in Power Grid
by: Pei, Hao, et al.
Published: (2023)

Enhancing Power Quality Event Classification with AI Transformer Models
by: Saber, Ahmad Mohammad, et al.
Published: (2024)

Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
by: Jiang, Yuqi, et al.
Published: (2024)

RIMformer: An End-to-End Transformer for FMCW Radar Interference Mitigation
by: Zhang, Ziang, et al.
Published: (2024)

A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models
by: Liang, Xiao, et al.
Published: (2026)

Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent
by: Li, Yicheng, et al.
Published: (2025)

On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
by: Wei, Yudong, et al.
Published: (2025)

Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
by: Qin, Zhen, et al.
Published: (2024)

Performance Monitoring of Proton Exchange Membrane Water Electrolyzer by Transformers-Based Machine Learning Model
by: Chen, Bingqing, et al.
Published: (2026)

Learning from Scratch: Structurally-masked Transformer for Next Generation Lib-free Simulation
by: Huang, Junlang, et al.
Published: (2025)

Efficient Federated Low Rank Matrix Completion
by: Abbasi, Ahmed Ali, et al.
Published: (2024)

Bayesian Matrix Completion Under Geometric Constraints
by: Chiluvuri, Rohit Varma, et al.
Published: (2026)

Fusing Global and Local: Transformer-CNN Synergy for Next-Gen Current Estimation
by: Huang, Junlang, et al.
Published: (2025)

GeoPep: A geometry-aware masked language model for protein-peptide binding site prediction
by: Chen, Dian, et al.
Published: (2025)

S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
by: Huang, Junlang, et al.
Published: (2025)

Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing
by: Qi, Jun, et al.
Published: (2026)

Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
by: Lin, Zhidi, et al.
Published: (2025)

EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
by: Ding, Yi, et al.
Published: (2024)

Analysis of Learning-based Offshore Wind Power Prediction Models with Various Feature Combinations
by: Fang, Linhan, et al.
Published: (2025)

Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms
by: Borsoi, Ricardo Augusto, et al.
Published: (2024)

An Adaptive Latent Factorization of Tensors Model for Embedding Dynamic Communication Network
by: Liao, Xin, et al.
Published: (2024)

MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
by: Han, Wenyong, et al.
Published: (2024)

Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine
by: de Rooij, Seline J. S., et al.
Published: (2024)

Adapting Tensor Kernel Machines to Enable Efficient Transfer Learning for Seizure Detection
by: de Rooij, Seline J. S., et al.
Published: (2025)

Joint Optimization of Energy Consumption and Completion Time in Federated Learning
by: Zhou, Xinyu, et al.
Published: (2022)

Digital Twin-Empowered Voltage Control for Power Systems
by: Xu, Jiachen, et al.
Published: (2024)

PRB-RUPFormer: A Recursive Unified Probabilistic Transformer for Residual PRB Forecasting
by: Masrur, Saad, et al.
Published: (2026)

Generalized Nonnegative Structured Kruskal Tensor Regression
by: Wang, Xinjue, et al.
Published: (2025)

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
by: Chen, Kuan-Lin, et al.
Published: (2024)

A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation
by: Chen, Kuan-Lin, et al.
Published: (2025)

Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling
by: Schynol, Lukas, et al.
Published: (2024)

Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
by: Chege, Joseph K., et al.
Published: (2024)