Latest Achievements
Kamila Larripa and collaborators had their paper accepted to the Springer volume Advances in Data Science. The article is titled "Randomized Iterative Methods for Tensor Regression Under the t-product" and sets forth novel methods to handle multimodal data. This publication is the result of their collaborative work initiated at the Institute for Pure and Applied Mathematics.
Kamila Larripa and collaborators had their paper accepted to the Springer volume Advances in Data Science. The article is titled "Randomized Iterative Methods for Tensor Regression Under the t-product" and sets forth novel methods to handle multimodal data. This publication is the result of their collaborative work initiated at the Institute for Pure and Applied Mathematics.