There is a growing need for models that are interpretable and have reduc...
Deep Learning (DL) models achieve great successes in many domains. Howev...
We prove a two-way correspondence between the min-max optimization of ge...
In today's ML, data can be twisted (changed) in various ways, either for...
We introduce a tunable GAN, called α-GAN, parameterized by α∈
(0,∞], whi...
We analyze the optimization landscape of a recently introduced tunable c...
Recently, a parametrized class of loss functions called α-loss,
α∈ [1,∞]...
We present α-loss, α∈ [1,∞], a tunable loss function
for binary classifi...