activity
20182025
most citedInformation gain ratio correction: Improving prediction with more balanced decision tree splits

5 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

math.NT2025

Evaluation of Modular Polynomials from Supersingular Elliptic Curves

Maria Corte-Real Santos, Jonathan Komada Eriksen, Antonin Leroux +2

We present several new algorithms to evaluate modular polynomials of level modulo a prime on an input . More precisely, we introduce two new generic algorithms, shari…

cs.CR2023

Hidden Stabilizers, the Isogeny To Endomorphism Ring Problem and the Cryptanalysis of pSIDH

Mingjie Chen, Muhammad Imran, Gábor Ivanyos +3

The Isogeny to Endomorphism Ring Problem (IsERP) asks to compute the endomorphism ring of the codomain of an isogeny between supersingular curves in characteristic given only a…

math.NT2023★ 1 cited

Computation of Hilbert class polynomials and modular polynomials from supersingular elliptic curves

Antonin Leroux

We present several new heuristic algorithms to compute class polynomials and modular polynomials modulo a prime by revisiting the idea of working with supersingular elliptic cu…

cs.CR2020

Faster computation of isogenies of large prime degree

Daniel Bernstein, Luca de Feo, Antonin Leroux +1

Let be an elliptic curve, and a point in of prime order . Vélu's formulae let us compute a quotient curve $\mathcal…

stat.ML2018★ 5 cited

Information gain ratio correction: Improving prediction with more balanced decision tree splits

Antonin Leroux, Matthieu Boussard, Remi Dès

Decision trees algorithms use a gain function to select the best split during the tree's induction. This function is crucial to obtain trees with high predictive accuracy. Some gai…