Antonio Valerio Miceli Barone
I was born in Palermo, Italy in 1982. I received my PhD degree in Computer Science from University of Pisa, Italy in 2015. Currently I work as a research associate (post-doc) at the University of Edinburgh, where I co-lead a project sponsored by Amazon Research on diffusion-inspired chain-of-thought self-revision with Dr. Shay Cohen.
My main research interests are Machine Learning, Artificial Intelligence and Natural Language Processing. My research is on the reliability of machine learning systems and on training procedures in which models generate and verify their own supervision. My current work is on verification-grounded self-improvement, using program execution, formal proofs and the outcomes of games as training signals, and on reasoning as iterative computation in a model's latent space rather than as autoregressive token generation. I also study how large language models fail, in out-of-distribution and adversarial settings and in multi-agent interaction, which connects this work to AI safety. Earlier in my career I worked extensively on machine translation, including low-resource languages, and on code generation.
My other interests include fundamental aspects of machine learning (Bayesian inference, universal inductive inference), physics of information, quantum computation, biology and philosophy.