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Found 5 papers, 1 papers with code
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks
Biclustering on bipartite graphs is an unsupervised learning task that simultaneously clusters the two types of objects in the graph, for example, users and movies in a movie review dataset.
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.
