Biagio (Mattia) La Rosa bio photo

Biagio (Mattia) La Rosa

I am a PhD student on Computer Engineering @ sapienza. My focus is to study methodologies to improve the interpretability of Deep Learning techniques. Passionate also about neuroscience, psychology, games, and astronomy.

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About Me

I am a final year PhD student under the supervision of Prof. Roberto Capobianco in Ro.Co.Co. Lab at Department of Computer, Control, and Management Engineering “Antonio Ruberti” of Sapienza University. Currently, I am a member of the Knowledge, Reasoning, and Learning research group and a visiting scholar at University of California, Santa Cruz, supervised by prof. Leilani Gilpin.

My area of interest is eXplainable Artificial Intelligence (XAI); specifically, I am most interested in research that explains the behavior of Deep Neural Networks combining tools from different areas of Machine Learning and science. Most of my research has been devoted to the investigation of intrinsic methods for deep networks, thus researching self-interpretable networks or elements embedded inside the architectures that can be exploited to explain them (e.g., memory, activations, attention). Image of a black box behavior

I have a background in computer science and Artificial Intelligence, having a M. Sc. degree in “Artificial Intelligence and Robotics” and a B. Sc. in “Computer Science”, both from the Sapienza University.
During my master thesis, I studied the problem of getting explainability on sequential tasks supervised by Prof. Roberto Capobianco. Previously I obtained my Bachelor’s degree in Computer Science at Sapienza University, under the supervision of Prof. Roberto Navigli and the help of the Natural Language Processing Group. In the past I collaborated with CINI (2016) to merge two semantics knowledge graphs and with DIAG to develop a memory based deep neural network.