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Simple, fast, and flexible framework for matrix completion with infinite width neural networks
Matrix completion problems arise in many applications including recommendation systems, computer vision, and genomics. Increasingly larger neural networks have been successful in many of these applications but at considerable computational costs. Remarkably, taking the width of a neural network to i...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169779/ https://www.ncbi.nlm.nih.gov/pubmed/35412891 http://dx.doi.org/10.1073/pnas.2115064119 |