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Found 5 papers, 1 papers with code
Leveraging LLM Reasoning Enhances Personalized Recommender Systems
Recent advancements have showcased the potential of Large Language Models (LLMs) in executing reasoning tasks, particularly facilitated by Chain-of-Thought (CoT) prompting.
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning
In this paper a new dictionary learning algorithm for multidimensional data is proposed.
Exact tensor completion using t-SVD
Using this factorization one can derive notion of tensor rank, referred to as the tensor tubal rank, which has optimality properties similar to that of matrix rank derived from SVD.
Novel methods for multilinear data completion and de-noising based on tensor-SVD
Based on t-SVD, the notion of multilinear rank and a related tensor nuclear norm was proposed in [11] to characterize informational and structural complexity of multilinear data.
Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data
In this paper we propose novel methods for compression and recovery of multilinear data under limited sampling.
