2 papers
math.NA2024
Polynomial approximation of noisy functions
Takeru Matsuda, Yuji Nakatsukasa
Approximating a univariate function on the interval with a polynomial is among the most classical problems in numerical analysis. When the function evaluations come with n…
cs.CL2024
Exploring Intra and Inter-language Consistency in Embeddings with ICA
Rongzhi Li, Takeru Matsuda, Hitomi Yanaka
Word embeddings represent words as multidimensional real vectors, facilitating data analysis and processing, but are often challenging to interpret. Independent Component Analysis…