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Found 5 papers, 1 papers with code
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks
The latent block model (LBM) is a commonly used model-based tool for biclustering.
Giant Inverse Rashba-Edelstein Effect: Application to Monolayer OsBi$_2$
We propose that the hybridization between two sets of Rashba bands can lead to an unconventional topology where the two Fermi circles from different bands own in-plane helical spin textures with the same chiralities, and possess group velocities with the same directions.
Materials Science Mesoscale and Nanoscale Physics
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.
Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography
Specifically, we model the multi-spectral unknown as a 3-way tensor where the first two dimensions are space and the third dimension is energy.
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.
