2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning
Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez +2
The rapid advancement of deep neural networks has significantly improved various tasks, such as image and speech recognition. However, as the complexity of these models increases,…
q-bio.QM2022★ 2 cited
DeepProphet2 -- A Deep Learning Gene Recommendation Engine
Daniele Brambilla, Davide Maria Giacomini, Luca Muscarnera +1
New powerful tools for tackling life science problems have been created by recent advances in machine learning. The purpose of the paper is to discuss the potential advantages of g…