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Tensor Decomposition

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Showing 451–475 of 618 papers

TitleStatusHype
PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos—0
Polar-Coded Tensor-Based Unsourced Random Access with Soft Decoding—0
Polynomial-time Tensor Decompositions with Sum-of-Squares—0
Predictive State Recurrent Neural Networks—0
Provable learning of Noisy-or Networks—0
Provable Sparse Tensor Decomposition—0
Provable Tensor Completion with Graph Information—0
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models—0
QANet: Tensor Decomposition Approach for Query-based Anomaly Detection in Heterogeneous Information Networks—0
Quantization Aware Factorization for Deep Neural Network Compression—0
Quantum Circuit Optimization with AlphaTensor—0
Quantum-inspired tensor network for Earth science—0
Quaternion higher-order singular value decomposition and its applications in color image processing—0
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion—0
Reciprocal Attention Fusion for Visual Question Answering—0
Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning—0
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA—0
Reconstructing Training Data from Model Gradient, Provably—0
Reconstruction Algorithms for Low-Rank Tensors and Depth-3 Multilinear Circuits—0
Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals—0
Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections—0
RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data—0
Reducing the Control Overhead of Intelligent Reconfigurable Surfaces Via a Tensor-Based Low-Rank Factorization Approach—0
Representation Learning on Event Stream via an Elastic Net-incorporated Tensor Network—0
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling—0
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