3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Towards Neural Sparse Linear Solvers
Luca Grementieri, Paolo Galeone
Large sparse symmetric linear systems appear in several branches of science and engineering thanks to the widespread use of the finite element method (FEM). The fastest sparse line…
cs.RO2019
Learning to Grasp from 2.5D images: a Deep Reinforcement Learning Approach
Alessia Bertugli, Paolo Galeone
In this paper, we propose a deep reinforcement learning (DRL) solution to the grasping problem using 2.5D images as the only source of information. In particular, we developed a si…
cs.CV2019★ 3 cited
Adversarial Pixel-Level Generation of Semantic Images
Emanuele Ghelfi, Paolo Galeone, Michele De Simoni +1
Generative Adversarial Networks (GANs) have obtained extraordinary success in the generation of realistic images, a domain where a lower pixel-level accuracy is acceptable. We stud…