405 citations · 659 across the 15 of their papers we have counts for
3 papers · 1 filter
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
Zakhar Shumaylov, Vasileios Tsiaras, Yannis Stylianou
The ever-increasing parameter counts of deep learning models necessitate effective compression techniques for deployment on resource-constrained devices. This paper explores the ap…
Cumulant GAN
Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis +2
In this paper, we propose a novel loss function for training Generative Adversarial Networks (GANs) aiming towards deeper theoretical understanding as well as improved stability an…
Training Generative Adversarial Networks with Weights
Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis +1
The impressive success of Generative Adversarial Networks (GANs) is often overshadowed by the difficulties in their training. Despite the continuous efforts and improvements, there…