Generalised rational approximation and its application to improve deep learning classifiers. - Vinesha Peiris; Nir Sharon; Nadezda Sukhorukova; Julien Ugon (Appl. Math. Comput., 2021)

Deep Learning with Nonsmooth Objectives. - Vinesha Peiris; Nadezda Sukhorukova; Vera Roshchina (CoRR, 2021)

Flexible rational approximation for matrix functions. - Elior Kalfon; Vinesha Peiris; Nir Sharon; Nadia Sukhorukova; Julien Ugon (CoRR, 2021)

A comparison of rational and neural network based approximations. - Vinesha Peiris; Reinier Díaz Millán; Nadezda Sukhorukova; Julien Ugon (CoRR, 2023)

Artificial neural networks with uniform norm-based loss functions. - Vinesha Peiris; Vera Roshchina; Nadezda Sukhorukova (Adv. Comput. Math., 2024)