1 citations · 1 across the 4 of their papers we have counts for
4 papers
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
Kamyar Zeinalipour, Neda Jamshidi, Monica Bianchini +2
Pre-trained LLMs have demonstrated substantial capabilities across a range of conventional natural language processing (NLP) tasks, such as summarization and entity recognition. In…
A topological description of loss surfaces based on Betti Numbers
Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini +2
In the context of deep learning models, attention has recently been paid to studying the surface of the loss function in order to better understand training with methods based on g…
VC dimension of Graph Neural Networks with Pfaffian activation functions
Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
Graph Neural Networks (GNNs) have emerged in recent years as a powerful tool to learn tasks across a wide range of graph domains in a data-driven fashion; based on a message passin…
Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis
Veronica Lachi, Giovanna Maria Dimitri, Alessandro Di Stefano +3
Vaccine hesitancy, or the reluctance to be vaccinated, is a phenomenon that has recently become particularly significant, in conjunction with the vaccination campaign against COVID…