16 citations · 64 across the 18 of their papers we have counts for
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cs.MS2019★ 15 cited
Computing Theta Functions with Julia
Daniele Agostini, Lynn Chua
We present a new package Theta.jl for computing with the Riemann theta function. It is implemented in Julia and offers accurate numerical evaluation of theta functions with charact…
math.AG2019
On the Schottky problem for genus five Jacobians with a vanishing theta null
Daniele Agostini, Lynn Chua
We give a solution to the weak Schottky problem for genus five Jacobians with a vanishing theta null, answering a question of Grushevsky and Salvati Manni. More precisely, we show…
math.ST2019★ 4 cited
Moment Identifiability of Homoscedastic Gaussian Mixtures
Daniele Agostini, Carlos Améndola, Kristian Ranestad
We consider the problem of identifying a mixture of Gaussian distributions with same unknown covariance matrix by their sequence of moments up to certain order. Our approach rests…