Michela Proietti
Ph.D. student in Artificial Intelligence at the Department of Computer, Control and Management Engineering "Antonio Ruberti" at Sapienza University of Rome, under the supervision of prof. Roberto Capobianco.
Currently a member of the Cognitive Cooperative Robots Laboratory (Ro.Co.Co) and the Knowledge, Reasoning and Learning Research Group.
My interests include explainable artificial intelligence, continual learning and representation learning, together with their close link with neuroscience.
I previously obtained a M.Sc. in Artificial Intelligence and Robotics and a B.Sc. in Computer and Control Engineering, both from Sapienza University. During the development of my master's thesis, I had the opportunity to collaborate with the Rome Center for Molecular Design (RCMD), at the Department of Drug Chemistry and Technology of Sapienza University, coordinated by prof. Rino Ragno.
Explainable Artificial Intelligence
Continual Learning
Representation Learning
Membro di
Ultime pubblicazioni
| Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening on MACHINE LEARNING | 2023 |
| Memory Replay For Continual Learning With Spiking Neural Networks on 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) | 2023 |