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Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior

Research article (IEEE Transactions on Signal Processing, 2022) · cited 49× · AI/ML
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Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior

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Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-flexible-sparsity-aware-modeling-automatic-tensor-rank-learning-using-the-generalized-hyperbolic-prior
MLA “Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-flexible-sparsity-aware-modeling-automatic-tensor-rank-learning-using-the-generalized-hyperbolic-prior.
BibTeX @misc{4ortxyz_towards-flexible-sparsity-aware-modeling-automatic-tensor-rank-learning-using-the-generalized-hyperbolic-prior_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior}}, year = {2026}, url = {https://4ort.xyz/entity/towards-flexible-sparsity-aware-modeling-automatic-tensor-rank-learning-using-the-generalized-hyperbolic-prior}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior — https://4ort.xyz/entity/towards-flexible-sparsity-aware-modeling-automatic-tensor-rank-learning-using-the-generalized-hyperbolic-prior (retrieved 2026-05-24)

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