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Rates and architectures for learning geometrically non-trivial operators

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Roddenberry, T. Mitchell, Tzou, Leo, Dokmanić, Ivan, de Hoop, Maarten V., Baraniuk, Richard G.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Computer Vision and Pattern Recognition Image and Video Processing Differential Geometry
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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