eXplainable AI approaches for debugging and diagnosis. | Workshop @ NeurIPS2021 14 December
eXplainable AI for deep reinforcement learning. | Workshop @ AAAI2024 February, 27th 2024 Vancouver, Canada
Description: Bio, interests (especially on Explainable Artificial Intelligence) and news about Biagio La Rosa.
ai (10583) ucsc (25) xai (22) explainable artificial intelligence (2) biagio la rosa (1) sapienza university (1)
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.
I am a third-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).
eXplainable AI approaches for debugging and diagnosis. | Workshop @ NeurIPS2021 14 December
eXplainable AI for deep reinforcement learning. | Workshop @ AAAI2024 February, 27th 2024 Vancouver, Canada