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Tensor Decomposition

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TitleStatusHype
Decomposition of linear tensor transformations—0
Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach—0
An Online Algorithm for Learning Selectivity to Mixture Means—0
A Comparative Analysis of Tensor Decomposition Models Using Hyper Spectral Image—0
Efficient Tensor Decomposition—0
Blind Direction-of-Arrival Estimation in Acoustic Vector-Sensor Arrays via Tensor Decomposition and Kullback-Leibler Divergence Covariance Fitting—0
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks—0
VecHGrad for Solving Accurately Complex Tensor Decomposition—0
An eigenvector-based hotspot detection—0
Beyond Lazy Training for Over-parameterized Tensor Decomposition—0
Adaptive Learning of Tensor Network Structures—0
Efficient Orthogonal Tensor Decomposition, with an Application to Latent Variable Model Learning—0
Electrical Grid Anomaly Detection via Tensor Decomposition—0
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments—0
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design—0
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks—0
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods—0
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization—0
DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition—0
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models—0
Double Low-Rank 4D Tensor Decomposition for Circular RIS-Aided mmWave MIMO-NOMA System Channel Estimation in Mobility Scenarios—0
Doubly Decomposing Nonparametric Tensor Regression—0
Biology-inspired joint distribution neurons based on Hierarchical Correlation Reconstruction allowing for multidirectional neural networks—0
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements—0
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods—0
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